DEV
Full Stack Engineer
Prabhudayal
Vaishnav
This profile covers the information about my work as an AI Engineer and full-stack developer. My work involves building AI systems, maintaining open-source repository contributions, and implementing software architectures using tools like LangGraph, PyTorch, and Next.js.
Technical Stack
// Core Technologies[01]
PythonNext.jsReactJavaScriptC/C++SQLMatlabRLangGraphLangChainLlamaIndexOllamaTransformersPyTorchTensorFlowPipecat
// Tools & Others[02]
PandasNumpySeabornPower BILinuxMacOSCompetitive ProgrammingLeadershipCommunicationProblem Solving
Professional Experience
Research Internship
ESIEA
Paris, France (Remote)January 2025 - June 2025
- This project achieved 93.4% mAP@0.5 using dual YOLO frameworks (YOLOv12 and YOLOv11) for 22-class facial emotion recognition on the CFEE dataset.
- This includes an automated annotation pipeline that reduced manual effort by 90% and fine-tuned models through transfer learning from MS COCO pre-trained weights.
Education
2022-PresentDegree
Bachelors of Technology (Hons.) CSE Data Science
Chhattisgarh Swami Vivekanand Technical University, Bhilai
7th Semester - CGPA: 8.6/10
Recognition
Nov 2024
IIM Nagpur Data Analyst Hackathon Winner
InFED at Nagpur
- This team won 1st place by presenting a solution addressing AI Product Comparison.
- The solution used a Deep-Research agent to generate a 22-page report, which reduced manual effort by 90%.
Aug 2025
HackLLM 2025 @ IIIT Delhi - 3rd Place
IIIT Delhi (Esya'25)
- This project involved building a medical AI summarization system that outputs dual perspectives.
- This secured a top-3 position out of 80+ teams without relying on external APIs.