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About

Final-year Computer Science and Engineering student with a minor in Business Analytics, building AI/ML applications that connect model-driven decisions with usable software systems. Hands-on project experience in real-time ML risk scoring, TensorFlow-based federated learning, marketplace intelligence, and LLM-assisted asynchronous data processing. Experienced with Python, TensorFlow, PyTorch, FastAPI, Gemini, LangChain, SQL, and Docker, with an interest in developing reliable, deployable AI systems for real-world operational problems.

Projects4

  • Sentinel: Real-Time Risk Scoring Engine

    Built a real-time risk-scoring system combining user, device, and application signals for continuous trust evaluation across 50+ simulated entities with ML-driven threat assessment delivering dynamic policies such as ALLOW, CHALLENGE, RESTRICT, and BLOCK. Integrated live event streaming and Prometheus/Grafana monitoring for scoring activity and security events.

    • TensorFlow
    • FastAPI
    • React
    • Supabase
    • WebSockets
    • Prometheus
    • Grafana

  • Transaction Processing Pipeline

    Developed an asynchronous pipeline processing noisy financial CSV files with background workers, implementing data cleaning, statistical outlier detection, currency inconsistency checks, Gemini-based classification, and reporting. Designed persistent job-status and results APIs with PostgreSQL and retry handling to ensure resilience against LLM failures for batches of 5,000+ records.

    • Python
    • FastAPI
    • Celery
    • Redis
    • PostgreSQL
    • Gemini
    • Docker

  • PriceSentinel: AI-Powered Marketplace Intelligence

    Built a marketplace intelligence platform tracking competitor prices, Buy Box ownership, price drops, and stockout opportunities across 12+ Indian cities. Integrated price-monitoring pipeline with PyTorch-based Buy Box win-probability prediction and LangChain-powered alert workflow, enabling actionable WhatsApp alerts via scheduled scraping, persistent price data, and REST APIs.

    • Python
    • PyTorch
    • scikit-learn
    • FastAPI
    • Scrapy
    • LangChain

  • Federated Learning with On-Chain Aggregation

    Developed a federated-learning platform featuring neural networks, linear and logistic regression, decision-tree models with federated weight aggregation, model evaluation metrics (precision, recall, F1-score), and hyperparameter search. Integrated blockchain-based aggregation records and IPFS model storage for secure, decentralized coordination.

    • React
    • TensorFlow.js
    • Blockchain
    • IPFS
    • Firebase

Education1

  • B.Tech

    2023 — 2027

    KIT’s College of Engineering, Kolhapur, Maharashtra

    Computer Science and Engineering