Deepak Rathore
As a researcher with 8 years of experience, I am driven by a deep curiosity and an ambitious pursuit of mastery in my field. I thrive on autonomous work, taking full accountability for my contributions, and am guided by an idealistic vision to create meaningful impact through my empathetic and structured approach.
Experience
Research Fellowship
Aeronautical Development Agency, DRDO · Oct 2024 – Oct 2025
- Integrated Object Detection and Eye Gaze Estimation models into legacy codebase of an active IAF flight simulator system used by pilots and defence personnel
- Developed system automation scripts (Autoboot, Scheduled Run, System Health Check) ensuring 24/7 uptime of mission-critical simulation infrastructure
- Won 2nd place in DRDO-wide Young Scientist AI/ML Challenge - competed against senior scientists and engineers across the entire organisation, solving a physics-based problem using Al/ML
- Leading integration of modern AI/ML workflows into legacy defence systems across the organisation
Software Engineer(AI/ML)
Defence Research & Development Organisation (DRDO) · Aug 2022 – Sep 2024
- Designed and deployed end-to-end AI pipeline for a defence-grade wearable robotics system — spanning sensor selection, embedded
- firmware, dataset creation, model training, evaluation, and real-time field deployment
- • Achieved 98% model efficacy in final real-time field testing across multiple deep learning models
- • Developed embedded firmware for IMU sensor data acquisition — high-frequency, low-latency inputs for real-time robotic control
- • Deployed deep learning models on NVIDIA Jetson edge devices (TX2, Orin, Nano, Xavier NX) with CUDA-based inference optimization for
- on-device real-time performance
- • Built and processed in-house time-series dataset — full pipeline of cleaning, analysis, visualization, and report generation
- • Implemented real-time AI inference using multithreading and multiprocessing, improving system throughput significantly
- • Co-authored 2 research papers on wearable AI; presented monthly to senior scientists, domain engineers (EC/ME/CS/BM), and international
- teams working on competing technology
- • Mentored 5+ junior engineers and interns in model fine-tuning, training, and evaluation
Developer
Tann Mann Foundations · Oct 2021 – Feb 2022
- •Fine-tuned YOLOv5 object detection model achieving 95% efficacy for real-time copyright infringement detection
- •Integrated working YOLO v5 model into production codebase via Roboflow framework
- •Built anti-plagiarism system using computer vision to detect duplicate/copyrighted visual content
Data Analytics Intern
GRRAS solutions Pvt Ltd · Jun 2019 – Jul 2019
- Implemented end-to-end data engineering pipeline and analytical dashboard using Python and OLAP servers
Skills 0 proven through work
Also works with
Proof of Work
Proof of Work
Deepak shares this with people who ask. You'll hear back either way.
Education
B tech, Computer Science
Rajasthan Technical University · NaN — NaN
Projects
Contact details
Contact details
Deepak shares this with people who ask. You'll hear back either way.
What drives their work
The Strategist
He first diagnoses the core problem and then devises the most effective path forward.
Deepak's superpower
You excel at dissecting complex technical challenges and charting optimal, research-backed solutions.
How Deepak works
You thrive in teams focused on developing innovative AI/ML products with a clear, impactful application.
Ask about this candidate
AI responses may contain errors. Proof status and source information are provided by Proof of Skill.
A Proof CV — one profile, kept current, with the proof attached. Back to the portal