About me

I am a passionate Full-Stack and AI Developer with a B.Tech in Computer Science and Artificial Intelligence from KITS. Skilled in Python, Django, React, and FastAPI, I focus on building scalable, cloud-ready applications that combine web development with AI innovation.

I have hands-on experience with LangChain, RAG, LLMs, and Vector Databases, along with a strong foundation in Python Full Stack Development. Professionally, I worked as a Web Developer Intern at BasketHunt Pvt Ltd, where I created responsive web applications, and as a Freelancer at Outlier, contributing to AI training and optimization.

My technical expertise covers Python, JavaScript, HTML, CSS, SQL, MongoDB, PostgreSQL, Git, Docker, and AWS, as well as machine learning and NLP tools. I am highly motivated, adaptable, and passionate about creating efficient, innovative, and intelligent solutions that bridge the gap between software engineering and AI.

What I'm Doing

  • Web development icon

    Full Stack Development

    Building dynamic and responsive web applications using Python Full stack, Python, Django, RESTful APIs .

  • AI & ML icon

    AI & Machine Learning

    Developing intelligent systems using Python, Flask, and ML models to solve real-world problems.

  • API icon

    REST API Development

    Designing scalable backend APIs with Django and Flask to power frontend apps and services.

  • Production support icon

    LLM Models Training & AI Agents

    Train LLM models, evaluate their responses for accuracy, and build AI agents to simplify tasks.

Sivanji
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Clients

Resume

Education

  1. KKR & KSR Institute of Technology and Sciences

    2021 — 2024   |   Percentage: 80%   |   Vinjanampadu, Guntur

    Bachelor of Technology in Artificial Intelligence

  2. Bapatla Polytechnic College

    2018 — 2021   |   Percentage: 84%   |   Bapatla

    Diploma in Mechanical Engineering

  3. Loyola High School

    2017 — 2018   |   Percentage: 90%   |   Vinukonda, Guntur

    Class X - SSC

Experience

  1. Vtalent

    Python full-stack Trainee   |   August 2024 — May 2025   |   Hyderabad

    • Full-stack Development  :-
        * Built a scalable web applications using Python Django for backend and React.js for frontend.
        * Designed and implemented RESTful APIs and integrated third-party APIs to support dynamic frontend features.
        * Utilized MySQL for database design, optimization, and querying. implemented ORM with Django.
        * Ensured application security with proper authentication and authorization (OAuth2, JWT, Django Auth).
        * Used Git for version control and collaborated with teams via GitHub.
    • Technologies :-
        *Python, Django, Flask, HTML,Tailwind Css, JavaScript, React, SQL, Git, Aws,

  2. Outlier

    Coding Expertise for AI Training (Freelancer)   |   October 2024 – June 2025   |   Remote

           • Debugged code and troubleshot errors to ensure smooth execution and optimal performance of model workflows.
           • Evaluated model responses like accuracy, relevance, and alignment with expected outcomes.
           • Trained models to generate high-quality prompts and code outputs based on specific instructions and use cases.
           • Tested models to verify reliability, compliance with requirements, and consistent performance across varied inputs.

  3. BasketHunt Pvt Ltd

    Web developer   |   March 2024 – May 2024   |   Remote

           • Developed responsive and user-friendly web interfaces using HTML5, CSS3, JavaScript, and modern frameworks like React.js.
           • Integrated RESTful APIs to fetch and display dynamic data from backend services.
           • Applied responsive design principles using CSS frameworks like Bootstrap, Tailwind CSS, or Material UI.
           • Used version control systems such as Git for collaborative development and source code management.
           • Translated UI/UX designs and wireframes into high-quality, maintainable frontend code.
           • Worked in zoho cliq participated in daily standups, sprint planning, and peer code reviews.

My skills

  • Python
  • HTML, CSS , JavaScript, React
  • Python Full stack
  • SQL, MY SQL, PostgreSQL , MongoDB
  • LangChain, Retrieval-Augmented Generation (RAG), LLMs, Elasticsearch, VectorDBs(chroma/FAISS), Machine Learning, NLP
  • AWS & AI Tools
  • VS Code, Pycharm,Git,GitHub & Postman API Testing

Projects

DocuMind — Intelligent Document Query Platform

  1. FastAPI, LangChain, Autogen,React.js, TailwindCSS, PostgreSQL, AWS S3, Elasticsearch, unstructured.io, Auth JWT, Docker   |   June 2025

    • Development :-
        • Developed a full-stack document intelligence platform enabling users to upload, parse, and query documents (PDF, PPT, CSV) using advanced NLP with RAG (Retrieval-Augmented Generation).
        • Engineered a scalable React.js + TailwindCSS frontend with a seamless UI for document upload, query, and user interaction.
        • Built a robust FastAPI backend integrating LangChain, unstructured.io, Elasticsearch, and Autogen for intelligent document search and Q&A.
        • Implemented secure file handling using AWS S3 for storage and PostgreSQL for metadata management.
        • Designed and deployed document parsing pipelines via unstructured.io for accurate content extraction and chunking.
        • Managed user authentication via JWT/session-based auth, securing API routes and sessions.
        • Deployed scalable services using Docker and docker-compose, enabling smooth local and cloud deployment.
        •Structured code into modular services (parsing, storage, auth, RAG) ensuring clean architecture and maintainability.


Book Your Seat

  1. Python, Django,React,My SQL,Restful APIs   |   March 2025 — May 2025

    • Development :-
        • Designed and developed a full-stack web application for bus seat booking, enabling users to browse available buses and reserve seats in real time.
        • Implemented secure user authentication using token-based logins, ensuring data protection and session management.
        • Built an intuitive user dashboard for booking management, including real-time booking status and history.
        • Seamlessly integrated frontend and backend using RESTful APIs, enabling smooth and dynamic user interaction across the platform.


OrderNest – E-commerce Web Application

  1. Tech Stack: React.js, Django, MySQL, Git   |   February 2025 — April 2025

    • Development :-
        • Designed and developed OrderNest, a full-stack e-commerce platform for browsing, ordering, and managing products.
        • Implemented user authentication, shopping cart functionality, order tracking, and secure payment integration.
        • Built using React.js , Python and Django, and MySQL.
        • Integrated the front-end and back-end using RESTful APIs to fetch and update data.

BlogVault

  1. Python, Django, Restful APIs   |   January 2025 — February 2025

    • Development :-
        • Developed a blog platform using Django and Django REST Framework for scalable API development.
        • Implemented JWT (JSON Web Token) authentication to secure endpoints and user data.     • Designed and managed the backend database using MySQL, ensuring relational integrity and optimized queries.
        • Enabled CRUD operations for blog posts, user profiles, and comments via secure RESTful APIs.


DeepQuest: A Deep Learning Approach to Contextually Relevant Question Paper Generation

  1. Python, Flask, Machine Learning   |   November 2023 — April 2024

    • Development :-
        • Developed an automated question paper generation system based on user-provided educational content such as textbooks and study materials.
        • Employed NLTK and traditional rule-based NLP techniques to analyze text and extract key information for question generation.
        • Implemented Flask as the backend framework to provide an intuitive web-based user interface for seamless user interaction.
        •Generated output in PDF format, ensuring easy download, printability, and standard formatting for academic use.

Agriculture Crop Recommendation Using Machine Learning

  1. Python, Flask   |   october 2023 — april 2024

    • Development :-
        • Developed a predictive analysis system to forecast crop yields based on various environmental factors such as nitrogen, phosphorus, potassium, temperature, humidity, pH, and rainfall.
        • Implemented a Python Flask application for both front-end and back-end, providing farmers with a user-friendly interface for personalized crop and environmental condition inputs.

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