I'm an AI/ML Engineer based in Bengaluru. I recently completed my MTech in Machine Intelligence at PES University (CGPA: 9.41, Prof. CNR Rao Scholar), and I build production AI systems — the kind that run in mission-critical environments, not just notebooks.

Most recently, I interned at the Indian Navy's AI Incubation Centre (INICAI), where I built a real-time multi-camera person re-identification system using NVIDIA DeepStream. Before that, I spent six months at ISRO (ISTRAC) engineering an NLP pipeline that gave scientists 10x faster access to satellite telemetry data.

I'm drawn to the gap between AI research and real-world deployment. There's a version of machine learning that lives in papers and a very different version that has to survive noisy sensor feeds, mission-critical uptime requirements, and engineers who need answers in milliseconds. That gap is where I want to work.

At ISRO, I saw how domain experts couldn't access their own data quickly enough — I fixed it with NLP. At INICAI, I tackled one of computer vision's hardest problems: tracking a person as they disappear from one camera and reappear in another. These experiences shaped how I think about building AI: reliability and real impact first, elegance second.

Right now I'm exploring the GenAI stack — multimodal RAG, LLMs, and MLOps — and looking for AI Engineer roles where I can bring that production mindset to scale.

Here's the tech I use to bring ideas to life:

• Languages — Python, C++, Java, Bash
• AI / ML / DL — PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, OpenCV, FAISS, YOLO
• GenAI & Cloud AI — Gemini API, Vertex AI, Multimodal RAG, Google Cloud AI, BigQuery ML
• Specialties — Computer Vision, NLP, Deep Learning, Semantic Search, Model Fine-Tuning, NVIDIA DeepStream, CUDA
• Infrastructure — Docker, GCP, App Engine
• Backend & Databases — FastApi, MySQL, PostgreSQL, MongoDB, SQLite
• Tools — Git, GitHub, Postman, Linux

1. Indian Navy — INICAI (AI/ML Engineer Intern)

Duration: October 2025 - December 2025 (3 months)

Real-Time Multi-Camera Person Tracking and Re-Identification

• Architected and deployed a production-grade real-time multi-camera person Re-ID system using NVIDIA DeepStream SDK (Python + C++), integrating object detection, multi-object tracking, and appearance-based Re-ID into a single low-latency GStreamer inference.
• Designed a multi-stage identity resolution pipeline maintaining consistent global IDs across camera handoffs, occlusions, and re-entries with robust distance aggregation.

2. ISRO — ISTRAC (AI/ML Project Intern)

Duration: February 2023 - July 2023 (6 months)

Satellite Data Retrieval, Processing & Visualization using NLP and AI

• Fine-tuned RoBERTa for domain-specific NER on satellite mission vocabulary; integrated OpenAI Whisper for voice command support — giving scientists a natural language interface to ISRO's operational servers.
• Built a semantic search engine (Whoosh + SpaCy) that replaced keyword-only lookup and improved retrieval speed 10x. Delivered as a production Tkinter desktop application inside ISRO's live environment.

3. Simple Icons (Open Source Contributor) View contributions →

Duration: Jan 2024 - present

• Contributed brand icons to a globally used open-source icon library. Maintained JSON schema compliance via standard GitHub PR workflows.

Check out some of my work:

• FoundYou — Multi-camera person Re-ID with FAISS-accelerated three-stage identity matching, YOLO + ByteTrack + OSNet-512. Handles occlusions, re-entries, and cross-camera ID linking with minimal false positives.
• SAMS — Full-stack Django attendance management system with role-based access (admin, teacher, student), dashboards, and reporting across institutions.
• Newton-Gravity — Real-time 3D gravitational physics simulation in C++ and OpenGL with custom physics logic and interactive camera controls.
• AVL Tree Visualizer — Interactive Java/Swing GUI for step-by-step AVL tree operations with controllable animation speed, built as an educational tool.
• ArtAttack — First-person 3D art gallery game in Unity with custom ShaderLab paint shaders, physics-based brush mechanics, security AI, and localization support.

(Explore the repos for code and details!)

Always happy to talk about AI, LLMs, RAG, AI agents, cool side projects, or the mysterious bugs that somehow disappear the moment you start debugging them.

• LinkedIn: durgeshgowdac
• Github: You're here! Star a repo if something catches your eye.

“First solve the problem. Then optimize it.” — Ken Thompson

Thanks for stopping by! 🚀

Miscellaneous [Click]

Profile Summary

• 🎓 MTech Computer Science (Machine Intelligence) — PES University · CGPA 9.41 · Prof. CNR Rao Scholar
• 🎓 BTech Computer Engineering (Data Science) — Presidency University · CGPA 9.19
• 🛰️ AI/ML Intern — ISRO ISTRAC & Indian Navy INICAI
• ☁️ Google Skills Diamond League — 84,700 pts · Gemini, Multimodal RAG, MLOps on Vertex AI, Terraform, Kubernetes
• 🏆 National hackathon finalist — 6th out of 341 teams (CIDECODE × Karnataka Police CID) · Selected for SIH 2025
• 💡 Mentored Team "Code Bunnies" at Tata Elxsi TELIPORT Season 3
• 💻 600+ LeetCode problems · 3,800+ Hyperskill problems · Open-source contributor to Simple Icons

Education

M.Tech - Presidency University (2024 - 2026)

• Computer Science Engineering (Machine Intelligence - Machine Learning + Artificial Intelligence)
• Prof. CNR Rao Scholar
• CGPA (10 points) : 9.41 (89.39 %)
• GPA (4 points) : 3.76
• UK Equivalent : First-Class Honours (1st) / Distinction
• Participated in CIDECODE, TeXpedition, Smart India Hackathon (SIH), mentored in Tata Elxsi Hackathon (season 3)
• Attended Guidewire DEVSummit 2025, and worked as Invigilation Teaching Assistant

B.Tech - Presidency University (2019 - 2023)

• Computer Engineering (Data Science)
• CGPA (10 points): 9.19 (87.30 %)
• GPA (4 points) : 3.68
• UK Equivalent : First-Class Honours (1st) / Distinction
• Was part of Google Developer Student Club (GDSC), Microsoft Learn Student Ambassadors (MLSA), Science Club, and CodeChef Community.

Google Cloud — Skills & Certifications

Generative AI & LLMs

• Develop Gen AI Apps with Gemini and Streamlit
• Build Real World AI Applications with Gemini and Imagen
• Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
• Explore Generative AI in Agent Platform · Prompt Design in Agent Platform
• Introduction to Generative AI · Introduction to Large Language Models
• Conversational AI on Vertex AI and Dialogflow CX
• Responsible AI: Applying AI Principles with Google Cloud

MLOps & Machine Learning

• Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
• Certification Study Guide: Professional Machine Learning Engineer (PMLE)
• Perform Predictive Data Analysis in BigQuery · Analyze Sentiment with Natural Language API
• Use Machine Learning APIs on Google Cloud · Engineer Data for Predictive Modeling with BigQuery ML

Cloud Infrastructure & DevOps

• Build Infrastructure with Terraform on Google Cloud
• Deploy Kubernetes Applications on Google Cloud
• Build a Secure Google Cloud Network · Scaling with Google Cloud Operations
• Monitor Environments with Google Cloud Managed Service for Prometheus
• Build Event-Driven Applications with Eventarc · Google Cloud Essentials

Github Contributions

Github stats

Github Gists

LeetCode Stats:

                          

Leetcode Daily Medals

January 2024	February 2024	March 2024	April 2024	May 2024	June 2024	July 2024
01-31-2024	02-29-2024	03-31-2024	04-30-2024	05-31-2024	06-30-2024	07-31-2024

December 2023	November 2023	October 2023	September 2023	August 2023
12-31-2023	11-30-2023	10-31-2023	09-30-2023	08-31-2023

Leetcode Annual Medals

SUBMITTED CODE ON 365 OR MORE DAYS IN TOTAL

200 Days Badge	100 Days Badge	50 Days Badge
07-21-2024	04-10-2024	02-21-2024

100 Days Badge	50 Days Badge
12-15-2023	12-15-2023