About me

I am a Software Engineer and AI Enthusiast with a strong passion for building intelligent systems and solving complex real-world problems. Currently, I am working as a Software Engineer Intern - Backend at Zeotap, where I focus on large-scale identity resolution systems and distributed architectures. My experience spans across Full-Stack Development, Data Engineering, and AI/ML, having previously designed and deployed scalable AI platforms and LLM-based tools at Gloroots and Vivada Tech.

With a solid foundation in algorithms and systems thinking, I have solved over 1300+ DSA problems and achieved top global ranks on platforms like CodeChef (5-star), LeetCode (Knight Badge), and Codeforces (Expert). I thrive at the intersection of AI and backend engineering—crafting robust, high-performance solutions that drive tangible impact.

What I'm Doing

  • AI/ML icon

    Machine Learning (AI/ML)

    Leveraging AI and ML to build intelligent systems that learn and improve from data.

  • Research icon

    Research on LLMs

    Conducting advanced research on LLMs to enhance their capabilities across domains.

  • Data science icon

    Data Science

    Applying data science to extract insights from complex data sets for informed decisions.

  • Web development icon

    Web Development

    Creating websites that integrate front-end and back-end technologies for smooth user experiences.

Endorsements

  • Suv Patra

    Dipak Lele

    Sahil Bhoite’s expertise was pivotal in our LLM project for the hackathon. His deep knowledge of machine learning and large language models significantly enhanced our project’s performance. Sahil’s innovative solutions streamlined our model's integration and optimization, resulting in impressive results during the competition. His ability to tackle complex problems with creative approaches was invaluable, and his contributions were a key factor in our success. I highly recommend Sahil for any advanced AI and machine learning projects!

Daniel lewis
quote icon

Maheshwari Jadhav

Resume

Education

  1. MIT Academy of Engineering, Pune

    Dec 2021 – June 2025

    Bachelor of Technology in Electronics & Telecommunications | SGPA: 9.0/10

Experience

  1. Zeotap - Customer Data Platform

    June 2025 – Dec 2025

    Software Engineer Intern - Backend
    Tech Stack: Java, Spring Boot, Bigtable, BigQuery, Redis, RabbitMQ, Django, PostgreSQL, Microservices, REST APIs, CI/CD
    1. Created Bigtable-backed ID blacklisting lib with Redis cache for Java CDP pipeline, improving identity resolution by 30%.
    2. Built a reactive API caching system, reducing data refresh delays from 30 minutes to seconds through real-time updates.
    3. Crafted distributed reindexing across microservices with RabbitMQ, BigQuery, API monitoring, & automated recovery.
    4. Improved Role-Based Access Control via optimized Django ORM queries & database, ensuring secure authorization.

  2. Gloroots

    Feb 2025 – May 2025

    AI & Software Engineering Intern
    Tech Stack: Python, FastAPI, React, TypeScript, OpenAI API, LangGraph, PyTorch, Web Scraping, REST APIs, GPT-4, LLMs
    1. Built configurable AI interview React apps with FastAPI, cutting screening time by 50% through JD-specific evaluations.
    2. Deployed a large-scale web scraping pipeline collecting 35k+ CVs & JDs for fine-tuning LLM-based internal models.
    3. Optimized API costs by 50% by merging CV & JD processing pipelines for vision LLMs using OpenAI API & LangGraph.
    4. Crafted a scalable platform for candidate screening, testing, & evaluation, using GPT 4 models & multi-stage prompting.

  3. Vivada Tech

    Feb 2024 – Aug 2024

    Software Development Intern
    Tech Stack: Java, Spring Boot, REST APIs, Llama2, PyTorch, Transformers, Hugging Face, Collaborative Filtering, MySQL
    1. Developed & optimized Spring Boot backend APIs for AI-powered social media platform with automated content analysis.
    2. Deployed open-source Llama2 LLM based fact-checking algorithm using the FakeNewsNet dataset, cutting costs by 80%.
    3. Built collaborative filtering recommendation engine enhancing user experience & engagement via matrix factorization.

Projects

  1. MARS: Multi-modal AI Research System - Generative AI & Advanced RAG Pipeline

    Tech: PyTorch, Transformers, FAISS, LangChain, Embeddings, Multimodal Processing, Vector Search, OpenCV, Docker
    1. Built versatile file ingestion tool processing 26 file types & 200MB data, enabling Multimodal insights via FAISS ANN.
    2. Deployed 2-stage RAG pipeline with fine tuned 4B parameter LLM achieving 67% MMLU & 7.84 MT-bench scores.

  2. Refine: AI-Powered Resume Optimizer & ATS Analyzer

    Tech: React, TypeScript, Tailwind CSS, FastAPI, Python, Pydantic, OpenAI API, Uvicorn, Cline, Render, Git, RESTful APIs
    1. Built an AI resume optimizer improving JD alignment by 5% to 10% through automated feedback & content optimization.
    2. Delivered end-to-end system for resume review & refinement, offering actionable feedback via a seamless multi-step UX.

  3. SAHAB: Smart Assistant for Handling Advocacy & Briefings - LLM for Legal Tech

    Tech: HuggingFace, LangChain, FAISS Vector DB, InLegalBERT, Google Translator, Google Cloud, RAG, Gemini API
    1. Developed comprehensive multilingual legal AI assistant, improving information access by 15% for justice services.
    2. Implemented robust support for 40+ languages including regional Indian dialects, substantially expanding accessibility.

  4. KSHMR: Kashmir's Specialties Handicrafts & Merchandise Retails - E-Commerce website

    Tech: Spring Boot, Java, React, MySQL, AWS (EC2, S3, CloudFront), JavaScript, Maven, RESTful APIs, CI/CD, Redis
    1. Built an e-commerce platform for 100+ Kashmiri specialties, handling 1000+ daily transactions with real-time inventory.
    2. Constructed a responsive design with robust CRUD functionalities, ensuring optimal performance across all devices.

Minor Projects

  1. SQLWhisperer

    AI tool that converts natural language into SQL queries using contextual database schemas.

  2. Brain Tumor Detection

    Achieved 92% accuracy on MRI scans using YOLOv11, built in Python for real-time inference.

  3. ContestHub

    Coding contest aggregator from Codeforces, LeetCode, CodeChef with live updates & unified user profiles.

  4. cfLikeDislike

    Chrome extension to crowdsource & display real-time like & dislike feedback on coding problems on CF.

Technical Skills

  1. Programming Languages

    Python, Java, Go, JavaScript/TypeScript, SQL

  2. Full Stack & Backend

    React, Spring Boot, FastAPI, RESTful APIs, Redis, Postman

  3. AI/ML & Data Science

    PyTorch, TensorFlow, Transformers, NLP, HuggingFace, LangChain, FAISS, OpenCV, Pandas, MLOps

  4. Cloud

    AWS (EC2, S3, Lambda), Google Cloud (Bigtable, BigQuery), Docker, Kubernetes

  5. Databases

    PostgreSQL, MongoDB, MySQL, Redis

  6. DevOps & Other Tools

    Git, CI/CD, Linux, Kafka, RabbitMQ, JUnit, OAuth/JWT, Spark, Cursor, Cline, Claude Code

Achievements

  1. Amazon ML Summer School

    Built ML models with Applied Scientists, achieving 15% lower RMSE and 63% accuracy rate.

  2. CodeChef (5-star, 2091)

    Ranked in top 991 globally and top 550 in India with 450 problems solved on the platform.

  3. LeetCode (Knight badge)

    Achieved max rating of 1892 (top 5% on Leetcode) with 500+ problems solved, Current rating 1725.

  4. Codeforces (Expert, 1723)

    Solved 350 problems, current rated 1655, with 1300+ total problems across all platforms.

  5. Smart India Hackathon (Runner-up, 2023 & 2024)

    Led team building full-stack AI solutions for real-world Problems.