About
About Prasanna Patil
I'm an AI Engineer in Pune, India. I build production systems in Python — backend APIs, asynchronous workers, real-time computer vision, WhatsApp automation and LLM applications — and I care most about the part that happens after the demo: reliability, recovery and deployment.
What I do now
I'm AI Engineer at Zuneko Labs by Emdee Digitronics (since June 2026). I own end-to-end development of production AI and backend systems there, including:
- Own end-to-end development of production AI and backend systems: activity-based time tracking and billing, healthcare workflows, conversational/voice agents, document automation, and computer vision.
- Build Python APIs (FastAPI/Django), AI services, automation pipelines, and third-party integrations across databases, messaging platforms, cloud services, and real-time processing.
- Develop and maintain activity-based client billing, WhatsApp document workflows, AI voice agents, and ANPR/CCTV analytics, with a focus on reliability and deployment.
- Hardening internship-era pipelines into monitored, recoverable production services.
How I got here
Computer Vision Intern — Zuneko Labs by Emdee Digitronics
March 2026 - June 2026
Built a real-time person detection and tracking pipeline on CCTV feeds using frame-by-frame detection and multi-frame tracking.
AI/ML Intern (Backend-Focused) — Shivohini TechAI LLP
Sept 2025 - March 2026
Built backend for conversational AI agents using LLaMA and OpenAI APIs. Focused on keeping context across turns without blowing token budgets.
Finalist - Backend & CV — Smart India Hackathon (Government of India)
Sept 2023
Built a CCTV analytics backend for crime detection and crowd monitoring. Presented to a government panel.
Full details are on the resume page.
Education
B.Tech in Artificial Intelligence & Data Science, Dr. D. Y. Patil School of Science & Technology, Pune (2022 - 2026).
Skills
daily — What I reach for without thinking.
Python, FastAPI, Pydantic, SQLAlchemy, PostgreSQL, Redis, Celery, Docker, Git/GitHub, Linux/Bash, Postman, pytest — for REST APIs, async workers, schema migrations, and production workflows.
shipped — Used on real systems.
Django, Flask, React, MongoDB, Supabase, OpenCV, YOLO, DeepSORT/ByteTrack, ONNX, TensorRT, NVIDIA Jetson, TensorFlow, PyTorch, CNN/LSTM, Librosa, PyAudio, LLaMA/OpenAI APIs, LangChain, RAG pipelines, FAISS, Pinecone, Meta WhatsApp Business API, Twilio, Webhooks, WebSockets, Nginx, GitHub Actions. Used across backend services, CCTV/video intelligence, speech emotion recognition, WhatsApp automation, and AI workflow reliability.
learning — Currently picking up.
MLOps tooling, gRPC, Kubernetes basics, AWS/GCP beyond the fundamentals, and Rust. The goal is stronger production AI systems: better retrieval, deployment, observability, and service boundaries.
Hackathons and certifications
- Smart India Hackathon 2023 — Finalist. Built an end-to-end CCTV analytics platform and presented it to a government evaluation panel.
- GUVI AI Impact Buildathon 2026 — Built Agentic Honey-Pot, an LLM-driven counter-scam platform that engages scammers and extracts threat intelligence.
- Google Build and Grow AI Hackathon 2026 — Participated in a competitive hackathon on applying AI to real-world problems.
- Oracle Cloud Infrastructure 2025 Certified Generative AI Professional — Oracle University (2025)
- Machine Learning & Data Science Using Python — Infosys Springboard (2025)
- IgniteX Program Participant — Wadhwani Foundation (2024)
Where I'm heading
The goal is stronger production AI systems: better retrieval, deployment, observability and service boundaries. Right now I'm going deeper on MLOps tooling, gRPC, Kubernetes, cloud platforms beyond the fundamentals, and Rust.
Location and languages
Based in Pune, Maharashtra, India. I work with teams in India and remotely with teams elsewhere. I speak English, Hindi and Marathi.
Let's talk
Whether it's a role or a project, the fastest way to reach me is email.