Open to opportunities

Dheeraj Reddy Byreddy

@dheerajreddybyreddy

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Full-Stack AI/ML Engineer specializing in production-grade systems for computer vision and scalable microservices.

India

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What I'm looking for

I seek roles where I can build production-grade AI/ML systems, work on computer vision and scalable microservices, mentor teams, and deliver measurable impact in applied domains.

I am a Full-Stack AI/ML Engineer with hands-on experience building production-grade intelligent systems using Python, FastAPI, and Next.js.

I have delivered high-impact projects including an agricultural platform with 98%+ ML accuracy serving 10,000+ users and a facial recognition system achieving 97%+ accuracy for 10,000+ students.

I design scalable microservices (FastAPI, Docker, PostgreSQL, Redis) and integrate advanced ML stacks (TensorFlow, PyTorch, XGBoost, CatBoost, FAISS) to meet high-throughput and low-latency requirements.

I lead technical initiatives and workshops, secured government funding for an agri-technology project, and mentor students while driving practical AI adoption in real-world applications.

Experience

Work history, roles, and key accomplishments

Current

Full-Stack Developer

Current

Promptelix

Mar 2025 - Present (7 months)

Designed an AI innovation ecosystem integrating learning, collaboration, mentorship, and blockchain-verified certifications with AI-driven recommendations and workflow automation for students, mentors, and investors.

Next.js Python Blockchain AI ML React fastAPI PostgreSQL Docker Product & Design

Current

Full-Stack AI/ML Engineer

Current

AgriOneAI

Dec 2024 - Present (10 months)

Engineered an enterprise-grade agricultural platform with 98%+ ML accuracy for disease and yield prediction, serving 10,000+ users and optimizing fertilizer recommendations. Architected scalable FastAPI microservices handling 1,000+ req/sec with PostgreSQL, Redis caching, and Next.js web portal.

Python fastAPI Next.js XGBoost CatBoost PostgreSQL Redis Docker

AI/ML Engineer

AI-Powered Student Identification

Jun 2025 - Oct 2025 (4 months)

Built a production facial recognition system achieving 97%+ accuracy for 10,000+ students using AdaFace embeddings and FAISS, enabling sub-second identification with secure REST APIs and a React dashboard. Implemented preprocessing pipeline (GFPGAN, Real-ESRGAN, MTCNN) and PostgreSQL-backed storage with JWT authentication.