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Jainam Shah

Resume

A structured view of experience, research, education, and skills. Prefer a PDF? Download below.

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Contact

jainam7604@gmail.com · linkedin.com/in/jainamshah76 · github.com/JainamS7

Experience

  • MTS Intern · Oracle

    Bengaluru, Karnataka

    May 2025Jul 2025

    • Designed and implemented schema-only inference using LLMs to identify primary keys and merge semantically equivalent entities from JSON metadata, enabling accurate relational modeling without source data.
    • Built core components in C and validated mappings with SQL.
    • Added semantic guardrails and metadata-driven heuristics for structural correctness—reducing tables by 25%, improving deduplication by 38%, and successfully migrating 99.7% of documents.
  • Research Intern · Indian School of Business (ISB)

    Remote

    Feb 2025May 2025

    • Reconstructed ~5GB of historical data across 650 fintech apps by combining the Wayback CDX API with proxy scraping, prioritizing completeness and consistency.
    • Used NLP and fuzzy matching (~95% accuracy) to standardize and link entity names across sources, producing a high-completion (~90%) time-series dataset for downstream analysis.
  • SWE Intern · Cognix Technologies

    Bengaluru, Karnataka

    May 2024Jul 2024

    • Built an ML model to identify shot, stance, and posture from cricket batting video using OpenCV, exposed via REST APIs (~86% accuracy).
    • Contributed to Django APIs and Flutter client work to improve functionality and user experience.

Research & publications

Selected projects

  • Codeblue

    Emergency response system for a medical center—triggered via web, QR, or WhatsApp, with automated alerts and escalation.

    React.js

  • BITS Hostel Allocation Portal

    Scalable hostel allocation for ~950 students using ILP, dynamic programming, and hierarchical fairness.

    Java · React.js

Education

  • Birla Institute of Technology and Science Pilani, Goa Campus

    Bachelor of Engineering in Computer Science · CGPA: 8.91 / 10

    Vasco da Gama, Goa

    Jul 2026

    Coursework: Data Structures and Algorithms, Machine Learning, Cloud Computing, Database Systems, Operating Systems, Computer Networks, Game Theory, Probability & Statistics.

Awards

  • Best Poster Award — HPDC ’25

    2025

    Adaptive GPU Power Capping: Balancing Energy Efficiency, Thermal Control and Performance

  • Winner — Calendar Dates, Memoriad World Mental Olympics

    2016

    Represented India in Las Vegas; solved 102 dates in 60s (world record); two medals.

  • Runner Up — CodeJam @ Quark

    2024

    Competitive programming contest with 200+ participants.

Skills

Languages: Java, MySQL, C, C++, Python, JavaScript, CUDA

Technologies: React.js, Node.js, Django, Flask, TensorFlow, PyTorch, Flutter