Jawwad Ahmad

Jawwad Ahmad

Data Science & AI Engineer (RAG, Local LLMs, ETL/Analytics) | IIT Bombay Internship Experience

1 yrs experience · New Delhi, Delhi · <10 hrs/week

About

Computer Science Engineering (Data Science) student with internship experience at IIT Bombay (OSDAG Software), focused on software integration/CI/CD, algorithm optimization, predictive modeling, ETL & visualization, and computational geometry. Built projects involving Edge AI with local LLM inference (Ollama), RAG with vector databases, and full-stack data platforms (Flask/PostgreSQL, Streamlit), with an emphasis on reliability, performance, and data integrity.

Skills

C++DockerFastAPIJavaJavaScriptJavascriptLinuxMatplotlibPandasPyTorchPythonScikit-learnStreamlitpandasscikit-learn

Experience

  • FOSSEE Semester Internship (Extension) — OSDAG Software · Indian Institute of Technology (IIT), Bombay02-01-2026 – 04-01-2026

    – Software Integration: Spearheading the public release and CI/CD integration of the OsBridgeLCCA (Life Cycle Cost Analysis) module after being awarded a merit-based performance extension. – Algorithm Optimization: Refactored legacy Python architecture to improve computational efficiency by 30%, significantly reducing execution time for complex, large-scale structural design simulations. – System Reliability: Architected rigorous exception handling and data validation protocols, decreasing software crash rates by 25% during extreme edge-case data processing.

  • FOSSEE Winter Internship — OSDAG Software Domain · Indian Institute of Technology (IIT), Bombay12-01-2025 – 01-01-2026

    – Predictive Modeling: Engineered the core OsBridgeLCCA prototype to quantify economic sustainability, accurately processing 10,000+ multi-dimensional numerical parameters for predictive cost-modeling. – Data Visualization Pipeline: Built scalable ETL and plotting modules using Matplotlib and xarray, automating dataset validation and reducing manual data analysis time by 40%. – Computational Geometry: Automated precision 2D CAD drawing generation utilizing the ezDXF library, directly mapping complex mathematical design parameters to graphical outputs with 100% accuracy.

Education

  • Jamia Millia Islamia New DelhiB.Tech, B.Tech in Computer Science Engineering (Data Science) - CGPA: 8.86
  • Science St. Michael’s High School, PatnaSenior Secondary (XII), Senior Secondary (XII), CBSE — Science
  • International School, PatnaSecondary (X), Secondary (X), CISCE — Secondary

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