About me

Who Am I ? Intelligence is what I build. Natural Intelligence is what I bring.

I’m a BTech Computer Engineering student at DY Patil University, Pune, driven by a mission to build scalable, intelligent, and impactful technology solutions. My expertise lies in Full-Stack Development, AI integration, and Cloud Technologies, where I combine innovation and technical depth to develop solutions that make a real-world difference.

I’ve worked on projects like FarmConnect, a farmer–buyer marketplace, a housing market data visualization in Tableau, a smart education platform with AI-powered learning features, and my personal portfolio website — each reflecting my commitment to purposeful, user-centric design and engineering excellence.

As a Google Student Ambassador and Web Development Intern at YUVA – NSDC, I’ve gained valuable experience in building modern web applications, fostering community collaboration, and contributing to technology-driven initiatives. Alongside, I’m continuously expanding my expertise in cloud computing and DevOps practices across AWS, Azure, and GCP to architect scalable and production-ready systems.

Certified in Oracle Cloud Infrastructure AI Foundations, Saylor Academy AI, and IBM Data Science, I’m committed to continuous learning, innovation, and using technology to create meaningful impact.

TOOLS AND TECHNOLOGY EXPOSURE

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    MLOps

    Experience in automating Highly Scalable infrastructure for Machine Learning workflows.

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    RAG

    Specialized in Retrieval-Augmented Generation (RAG) pipelines for building advanced AI solutions that combine large language models with real-time, domain-specific data retrieval for accurate and context-aware responses.

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    Agentic AI(N8n)

    I design autonomous agents that integrate large language models with real-time data, enabling dynamic decision-making, automated actions, and seamless interaction across cloud and enterprise systems.

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    Scikit-learn

    Proficient in using Scikit-learn, the essential Python library for classical machine learning, to implement a wide range of algorithms for classification, regression, clustering, and dimensionality reduction in various data science projects.

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    NumPy

    Fundamental package for scientific computing in Python, providing support for large multi-dimensional arrays and matrices, along with mathematical functions for efficient numerical operations.

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    Pandas

    Powerful data manipulation and analysis library for Python, providing data structures like DataFrames for efficient handling of structured data, time series, and statistical operations.

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    TensorFlow

    Open-source machine learning framework for building and deploying ML models. Experience in developing neural networks, deep learning models, and production-ready AI applications.

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    Java

    Object-oriented programming language widely used for enterprise applications, Android development, and backend systems. Proficient in Java fundamentals, OOP concepts, and application development.

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    C Programming

    Foundational programming language for system programming and embedded systems. Strong understanding of memory management, pointers, and low-level programming concepts.

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    HTML & CSS

    Core web technologies for building responsive and accessible web interfaces. Proficient in semantic HTML5, modern CSS3, Flexbox, Grid, and responsive design principles.

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    JavaScript

    Dynamic programming language for web development. Experience in ES6+, asynchronous programming, DOM manipulation, and building interactive web applications.

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    React

    Modern JavaScript library for building user interfaces. Proficient in component-based architecture, hooks, state management, and creating dynamic single-page applications.

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    Express.js

    Minimal and flexible Node.js web application framework. Experience in building RESTful APIs, middleware implementation, and server-side application development.

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    FastAPI

    Modern, high-performance Python web framework for building APIs. Proficient in creating fast, type-safe REST APIs with automatic documentation and async support.

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    Node.js

    JavaScript runtime for building scalable server-side applications. Experience in event-driven architecture, npm ecosystem, and full-stack JavaScript development.

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    VS Code & Kiro

    Proficient in modern development environments including Visual Studio Code and Kiro AI-powered IDE. Experience with extensions, debugging tools, and productivity workflows.

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    Pytorch

    Proficient in using Pytorch, a powerful open-source machine learning library, to build and train deep learning models for various applications, including computer vision and natural language processing.

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    K-Nearest Neighbors (KNN) & Random Forest

    Proficient in using K-Nearest Neighbors (KNN) and Random Forest algorithms for classification and regression tasks, leveraging their strengths in handling complex datasets and providing accurate predictions.

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    RAG with Amazon Bedrock

    Retrieval-Augmented Generation (RAG) techniques with Amazon Bedrock to enhance the capabilities of generative AI models, enabling them to access and utilize external knowledge sources for improved context and accuracy.

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    Prophet & Darts

    Proficient in using Prophet and Darts for time series forecasting, enabling accurate predictions and insights for various business applications.

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    Catboost

    Proficient in using Catboost for time series forecasting, enabling accurate predictions and insights for various business applications.

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    Automated Infrastructure

    Experience in automating Highly Scalable infrastructure .

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    Linux

    A powerful, open-source operating system known for its security, stability, and flexibility.

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    Amazon Web Services

    A leading cloud platform offering scalable, reliable, and cost-effective infrastructure and services for businesses of all sizes.

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    GCP

    I have hands-on experience with Google Kubernetes Engine (GKE) and am currently participating in Google's Gen AI Exchange Program to further deepen my expertise in cloud-native and AI technologies.

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    Microsoft Azure

    I Earned 117 badges and 22 trophies on Microsoft Learn, highlighting my expertise in Azure and Azure pipelines.

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    Go Lang

    I successfully migrated an entire PHP application to Go, implementing 20 microservices to showcase my expertise in backend migration and development.

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    Python

    A versatile and popular programming language known for its simplicity, readability, and extensive libraries, perfect for web development, data analysis, and automation.

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    Docker

    A containerization platform that simplifies application deployment by enabling consistent environments across development, testing, and production.

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    Kubernetes

    An open-source orchestration system for automating the deployment, scaling, and management of containerized applications.

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    CI-CD

    A suite of AWS services and tools enabling continuous integration and continuous delivery (CI/CD) pipelines, facilitating automated software delivery from code commit to deployment.

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    Terraform

    An infrastructure as code tool by HashiCorp, Terraform simplifies and automates provisioning and management of cloud infrastructure across multiple providers with declarative configuration files.

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    Jenkins

    An open-source automation server used for continuous integration and continuous delivery (CI/CD), enabling developers to automate build, test, and deployment processes across various platforms.

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    Ansible

    A powerful open-source automation tool used for configuration management, application deployment, and task orchestration, facilitating efficient IT infrastructure management across servers and environments.

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    Git and Github

    1)Git: Version control system for tracking code changes and enabling collaboration.
    2)GitHub: Web-based platform hosting Git repositories for collaborative software development.

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    Github Actions

    I have hands-on experience in implementing CI/CD pipelines using GitHub Actions for seamless automation and deployment.

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    AWS CICD

    Automated software release pipelines on AWS, from code repository to deployment, ensuring efficient and reliable delivery.

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    Grafana

    I have expertise in using Grafana for monitoring, visualizing metrics, and setting up real-time alerts to ensure system reliability.

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    Prometheus

    I have experience with Prometheus for monitoring, collecting time-series data, and setting up alerts to track system performance and health.

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    Elastic Search

    I have experience with Elasticsearch for powerful search, real-time analytics, and indexing large volumes of data for efficient querying and insights.

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    Redis

    Redis for in-memory data storage, caching, and improving application performance through fast, scalable data retrieval.

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    Django

    Django for building robust, scalable web applications with efficient backend frameworks and seamless database integration.

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    Flask

    Flask for developing lightweight, flexible web applications with a simple and extensible framework for Python-based backends.

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    Gin

    Gin for building high-performance, lightweight web applications in Go, leveraging its fast routing and middleware capabilities.

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    Mongo Database

    A leading NoSQL database known for its flexibility, scalability, and high performance, designed to handle unstructured data in modern applications with ease.

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    My SQL

    A popular open-source relational database management system (RDBMS) known for its reliability, performance, and ease of use, widely used for web applications and enterprise solutions alike.

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    PostgreSQL

    Advanced open-source relational database with robust features for complex queries, data integrity, and scalability. Widely used for enterprise applications requiring high performance and reliability.

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    Apache Kafka

    Distributed event streaming platform for building real-time data pipelines and streaming applications. Experience in implementing high-throughput, fault-tolerant messaging systems.

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    RabbitMQ

    Message broker for asynchronous communication between microservices. Proficient in implementing reliable message queuing, routing, and delivery patterns for distributed systems.

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    Helm

    Kubernetes package manager for streamlining application deployment and management. Experience in creating Helm charts for complex microservices architectures and managing releases.

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    ArgoCD

    GitOps continuous delivery tool for Kubernetes. Expertise in implementing declarative, version-controlled application deployments with automated sync and rollback capabilities.

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    NGINX

    High-performance web server, reverse proxy, and load balancer. Proficient in configuring NGINX for optimal performance, SSL/TLS termination, and microservices routing.

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    Postman & API Testing

    Comprehensive API development and testing platform. Experience in creating automated API test suites, documentation, and integration testing workflows.

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    Jira & Agile

    Project management and issue tracking tool. Proficient in Agile methodologies, sprint planning, and managing development workflows in collaborative team environments.

ACHIVEMENTS

  • GOLDMEDALIST DPU 2024

    Microsoft Beta-MLSA 2026

    Awarded Beta milestone status by Microsoft for exceptional advancement within the Microsoft Learn Student Ambassador global community

  • Best Performer in 2021-2022

    Successful performer

    Recognized for achievements in computer applications .

Resume

Education

  1. Google Gen AI Program
    GoogleCloud

    Currently Pursuing

    Currently enrolled in Google’s Gen AI Exchange Program focused on generative AI, LLMs, and ethical AI use. Gaining practical experience through workshops, collaborative projects, and mentorship from Google professionals.

  2. SCHOOL OF ENGINEERING & TECHNOLOGY DR.D.Y PATIL UNIVERSITY PUNE
    BACHELOR OF TECHNOLOGY

    AUGUST 2024 TO Present

    (with average of 8.27 CGPA and 1st class with distinction)

  3. SAMARTH JUNIOR COLLAGE, JAFRABAD
    HSC

    JUNE 2024

    (with 68.17% and 1st class and distinction)

  4. DNYANSAGAR VIDHYALAYA, SIPORA(AM)
    SSC

    MARCH 2022

    (with 91.00% and 1st class and distinction)

Experience

  1. Web Devloper
    YUVA Intern NSDC.

    Sep 2025- Present

    i) ML-Driven FinOps & Cost Prediction: Spearheading machine learning initiatives for cloud financial management. Develop and deploy predictive models using frameworks like Darts, NeuralProphet, and CatBoost to accurately forecast cloud expenditure and optimize infrastructure costs
    ii) AI-Powered Infrastructure Automation (Auto-Terraform): Pioneering the integration of AI into DevOps by creating "Auto-Terraform" solutions. Develop intelligent systems that automate the generation, validation, and management of Infrastructure as Code (IaC), significantly reducing manual effort and accelerating environment provisioning.
    iii) End-to-End AI/ML Project Lifecycle Management: Overseeing the complete lifecycle of internal AI solutions, from initial model development and prototyping to rigorous testing and automated deployment. Built and maintain robust CI/CD pipelines specifically designed for machine learning applications.
    iv) Enterprise RAG & Generative AI Solutions: Architecting and deploying highly scalable, internal generative AI applications using advanced Retrieval-Augmented Generation (RAG) frameworks. This involves integrating Claude 3.5 Sonnet via Amazon Bedrock and engineering sophisticated vector embedding pipelines to transform vast internal knowledge bases into queryable, intelligent systems for critical business functions.
    v) AI/ML Research & Development for DevOps: Driving innovation as a key member of the R&D team by prototyping and developing next-generation DevOps solutions. This involves creating "smart" AI/ML-powered tools to automate complex tasks, enhance system observability, and introduce intelligent, self-healing capabilities into the infrastructure.
    vi) Continuous Learning & Innovation: Keeping up with DevOps trends, cloud computing advancements, and AI-driven automation solutions.

  2. Site Reliability Engineer + Software Engineer
    STARMAKER INTERACTIVE PVT LTD,PUNE

    JAN 2024- Feb 2025

    i) Database Management: Skilled in designing and optimizing SQL and NoSQL databases.
    ii) CI/CD Automation: Implementing and optimizing CI/CD pipelines to automate build, test, and deployment processes.
    iii) Quality Assurance: Certifying builds through rigorous quality checks before production deployment.
    iv) Collaborative Development: Working closely with development teams to design, develop, and deploy software solutions.
    v) PHP Development: Experienced in developing and maintaining PHP applications, leveraging frameworks like Codeigniter.
    vi) Security and Performance: Ensuring code quality, performance optimization, and adherence to security standards.
    vii) AWS Cloud Services: Utilizing AWS services (e.g., EC2, S3, Lambda) to build scalable and reliable cloud infrastructure.
    viii) Problem Solving: Identifying and resolving issues proactively to enhance system reliability and operational efficiency.

  3. Microsoft Future Ready Talent Intern
    Microsoft Corporation

    SEP 2023 – DEC 2023

    i) Azure CI/CD Deployment: Deployed a website using Azure CI/CD pipelines, demonstrating proficiency in Azure DevOps practices.
    ii) Chatbot Creation: Developed a chatbot using Azure Bot, enhancing response speed by 15% for student inquiries.
    iii) Azure Expertise: Earned 51 Azure Cloud badges, showcasing comprehensive knowledge of Azure services.
    iv) Independent Project Completion: Successfully completed the project independently, highlighting adaptability and self-learning skills in Azure DevOps.

  4. My skills

    • Problem Solving
      101%
    • Linux
      85%
    • Git And GitHub
      100%
    • Docker
      90%
    • Python
      50%
    • Jenkins/CodeBuild
      85%
    • Amazon Web Services
      90%
    • Kubernetes/Ecs(Fargate+EC2)
      83%
    • ansible
      85%
    • Terraform
      81%
    • AWS CICD
      100%
    • Mongo Database
      50%
    • My SQL
      50%

Portfolio

Prefer start with Devops first and then mlops
  • Prefer start with Devops first and then mlops
  • Choose your track

Spotlight

A showcase of my most notable moments — from keynote talks and meetup appearances to awards and recognitions. These are the milestones that shaped my journey.

Contact

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