ASHOK

Deep learning · Data Analysis · Computer vision

B.Tech — Artificial Intelligence and Data Science
Kumaraguru College of Technology · Coimbatore, Tamil Nadu · 2023 – 2027 · Present
Education
Data Analyst Intern
Roche · Chennai, Tamil Nadu · July 2026 – Present
Internship
  • Conduct structured desk research and market analysis across epidemiology, competitor activity, market access, and customer insights.
  • Consolidate and validate information from multiple sources into comprehensive market insights reports.
  • Perform source validation, deduplication, and gap analysis to improve the accuracy and completeness of market research deliverables.
Innovation Engineer Trainee
Forge Innovation & Ventures · Coimbatore, Tamil Nadu · January 2026 – July 2026
Experience
  • Developed a real-time computer vision system for detecting and classifying Indian traffic signboards using a two-stage YOLO-based pipeline.
  • Improved small and distant sign detection using tiled inference and object tracking, achieving 85.96% mAP@50 and 95.5% classification accuracy.
  • Built the real-time inference pipeline, achieving 15+ FPS in a portable Raspberry Pi 5 CPU deployment unit.
SRFP Research Intern
IIT Gandhinagar · May 2025 – July 2025
Internship
  • Implemented an image enhancement system on Zynq UltraScale+ FPGAs via Vitis-AI.
  • Deployed a 10K-parameter custom finetuned ZeroDCE++ model for real-time inference.
  • Replaced unsupported operators to avoid CPU fallback and reduced complexity by 87.5%.
Languages
Python, C++, SQL, R
Tools
Linux, Git, Docker, GitHub, PowerBI, AWS, Supabase, Vercel, Modal
Libraries
Pandas, NumPy, Matplotlib, PyTorch, OpenCV, Scikit-learn, Seaborn, HuggingFace, vLLM, Unsloth
Focus
Optimization, deployment, real-time inference, data analysis