AI Engineer & Full Stack Developer actively researching, learning, and engineering state-of-the-art AI systems. Creator of the fine-tuned Tejapriyan-8B open-source language model and Teja Priyan AI multimodal intelligence platform. Dedicated to solving complex problems through clean code, deep learning, and continuous AI innovation.
8+
Projects Built
8B
Custom LLM Parameters
100%
Dedication to AI
Passionate AI Engineer and continuous learner specializing in fine-tuning open-source LLMs, multimodal AI architecture, and computer vision systems. Creator of Teja Priyan AI (multimodal intelligence platform) and the Tejapriyan-8B language model trained with SFT and GRPO for verifiable SQL reasoning.
Completed a Computer Science degree in May 2025 and comprehensive enterprise Java Full Stack development training in 2025–2026. Actively advancing skills in deep learning, autonomous cognitive routing, reinforcement learning with execution sandboxes, and production deployment.
Open-Source AI Research & Independent Systems | 2024 – Present
Trained and fine-tuned the Tejapriyan-8B language model using Supervised Fine-Tuning (SFT) for identity alignment and GRPO reinforcement learning with verifiable SQL execution rewards. Architected Teja Priyan AI, an enterprise multimodal intelligence platform with sub-second token streaming, live code and game preview sandbox, vision reasoning, and autonomous multi-tier cognitive routing.
Professional Training Program | September 2025 · 6 Months
Completed comprehensive enterprise training in Java, Spring Boot microservices, database architecture, RESTful API design, and modern scalable application development.
University Graduation | Completed May 2025
Graduated with a strong foundation in data structures, algorithms, software engineering principles, distributed systems, and computer architecture.
Academic & Research Projects | 2023 – 2024
Implemented real-time deep learning systems including helmet detection, license plate recognition, and smart traffic monitoring using Python, OpenCV, and YOLO models.
AI & LLM Fine-Tuning
Multimodal Systems
Computer Vision
Full Stack Engineering
Explore key projects across Artificial Intelligence, Large Language Models, Computer Vision, and Full-Stack Web.
Multimodal AI Workspace
Real-time streaming multimodal AI workspace with <0.4s latency, 4 adaptive depth tiers, native diagram reasoning, and live interactive code & game sandbox.
Fine-Tuned LLM · Verifiable SQL Reasoning
Fine-tuned 8B parameter model with SFT and GRPO execution rewards (57.7% on Spider benchmark). Runs offline with Ollama, in terminal via npx tejapriyan, and SQLite Wasm.
Real-time AI computer vision system utilizing deep learning CNN models and OpenCV to accurately detect motorcyclists riding without safety helmets.
IoT and AI-powered computer vision system using YOLO for real-time traffic density analysis, vehicle tracking, and automated violation detection.
Enterprise full-stack hotel management web app featuring live room booking, secure authentication, and administrative controls built with Java Spring Boot.
Interactive web gaming suite with responsive HTML5 Canvas mini-games, dynamic score keeping, and engaging frontend controls.
Serene glassmorphism web platform featuring interactive mind suites, medical trivia games, and clean minimalist engineering.
Immersive 3D interactive developer portfolio showcasing creative web experiments, 3D graphics, and smooth modern web interactions.
I'm always interested in hearing about new projects and opportunities. Feel free to reach out through any of the channels below!