Akash Kumar Saw

Software Engineer (AI/ML) | Quant Developer | C++ • Python | Real-Time Systems | Trading Infrastructure | Computer Vision & LLM Applications | IIIT Vadodara ’25

Dhanbad, Jharkhand, India

About

I am a Computer Science graduate from IIIT Vadodara (2025) with experience in software development and machine learning. I have worked on real-time, production-grade systems in both AI/ML and quantitative trading environments. During my work, I built low-latency data pipelines, deployed machine learning models for live systems, and worked with time-series data, computer vision, and backend services. I am actively seeking full-time roles in Software Development, AI/ML, or Quant Engineering, where I am eager to apply my skills.

Experience

  • Software Engineer in AI/ML at DigitalXcode
    Dec 2025 - Present · 8 mos

    • Built end-to-end AI systems including a real-time face detection & recognition pipeline and an interactive AI agent for restaurant automation. • Engineered a high-performance video processing pipeline (30+ FPS) using RT-DETR for multi-person detection, face extraction, and identity recognition. • Developed a multi-model AI agent supporting speech and text interaction, enabling users to query menus and receive intelligent responses. • Designed a dynamic document ingestion system allowing real-time updates via PDF uploads, ensuring the agent reflects the latest menu data without manual retraining. • Optimized system performance and latency across components, integrating deep learning models with scalable, modular architecture for production-like environments.

  • Software Engineer at ThunderStrike Quant Research LLP
    Feb 2025 - Nov 2025 · 10 mos

    • Designed and implemented complete spread-message handling logic with built-in drop detection and recovery, fixing a major gap in the trading system and ensuring stable and reliable performance in live markets. • Developed and deployed trading strategies leveraging Bollinger Bands, fast/slow moving averages, and other quantitative indicators to generate actionable trade signals. • Optimized market data processing pipelines by implementing multithreaded handling for NSE/BSE broadcast feeds (FO & CM), ensuring high-throughput, low-latency data ingestion with thread-safe synchronization. • Developed and implemented TT FIX protocol integration to handle trading activities, including order placement, modifications, and cancellations, ensuring compliance with industry standards and optimizing message handling.

  • ML Intern @ EaseMyGrowth at EaseMyGrowth
    May 2024 - Jul 2024 · 3 mos

  • Research Internship at GreenPepper + AI
    Feb 2024 - Apr 2024 · 3 mos

  • Member at Technical Committee IIIT Vadodara
    May 2022 - Oct 2023 · 1 yr 6 mos