Yug Bargaway

B.Tech. (Hons.) in Computer Science & Engineering, IIT Kharagpur

Education

Indian Institute of Technology Kharagpur

B.Tech. (Hons.) in Computer Science and Engineering
2024 – 2028 (Expected)

Class 12 (CBSE) — 95.6% • Class 10 (CBSE) — 97.2%
2022 • 2024

Awards & Achievements

  • Regionalist Rank 255, IICPC Quantfest 2026: Secured 255 out of 11,000 participants, applying advanced probability and statistical analysis.
  • Global Finalist, Nomura Quant Challenge: Placed in Top 30 of global competitors by developing optimized quantitative systems and strategies.
  • JEE Advanced 2024: Secured AIR 1235; JEE Mains 2024: Secured AIR 2420 (99.86 percentile).
  • Codeforces Expert (Rating 1742): Ranked 165 / 16.5K (Top 1.0%) in Round #1082 and 484 / 30K (Top 1.6%) in Round #1077 among international competitors.
  • Indian Olympiad Qualifier in Mathematics (IOQM): Awarded Certificate of Merit (2022–23) by the Mathematics Teachers Association (India).
  • AutoDrive Roboracer, CDC-TF 2025 Sim Racing League: Achieved 7th globally and 1st in India with an average lap time of 11.7 seconds.

Internships & Research Experience

Research Assistant

IIT Kharagpur • Prof. Priyam Chakraborty
Aug 2025 – Nov 2025

  • Designed an edge-compute vision pipeline for diverse terrain perception with adaptive inference for improved performance and latency.
  • Evaluated and benchmarked multiple terrain perception models on RUGD Dataset, achieving 85.8% accuracy and 95.9% water recognition.

Software & AI Team Researcher

AGV AI Research Group, IIT Kharagpur
Jul 2025 – Present

  • Built distributed Weights & Biases (Wandb) powered data collection and training pipeline for alpha-RACER, reducing collection and training time by 72%.
  • Implemented LocalINN for AutoDrive Roboracer, optimizing perception and increasing localization frequency from 15 Hz to 200 Hz+.

Data Analytics & AI Intern

ShipCube LLC • Remote
Nov 2025 – Jan 2026

  • Automated Level-1 customer support using an asyncio-powered LangChain system with microservices, reducing operational workload by 90%.
  • Engineered a GCP-based pipeline with validation workflows, processing client records while reducing marketing operational costs by 10x.
  • Designed a GraphQL ingestion and GCP caching layer for the database, reducing database support overhead and analytical query latency.

Technical Skills

  • Programming Languages: C++17, OCaml, Python, Bash, Lua, Java, JavaScript, Awk
  • Distributed Systems & Cloud: REST, Redis, Apache ZooKeeper, HAProxy, Docker, Google Cloud Platform (GCP)
  • AI & Frameworks: PyTorch, TensorFlow, Scikit-Learn, LangChain, React.js, C++ STL, Jupyter
  • Developer Tools & Utilities: Linux, CMake, Makefile, GDB, Valgrind, Git, PyTest, POSIX

Positions of Responsibility

Core Team Member

Kharagpur Open Source Society (KOSS)
Jul 2025 – Present

  • Mentored 100+ freshmen in developer tools, version control, and open source development.
  • Oversaw the Kharagpur Winter of Code (KWoC) server enabling contribution tracking across 30+ open source projects.