Programming
Python, C, C++, Bash, MATLAB, Java
About
Robotics, AI, and reliable software for systems that matter.
I’m a Master’s student in Robotics and Autonomous Systems (Artificial Intelligence) at Arizona State University, graduating in May 2026. I enjoy working at the intersection of computer vision, deep learning, and control, turning algorithms into systems that move, react, and adapt.
Previously, I worked as a Software Executive at Tata Advanced Systems Limited, where I led backend development for mission-critical defense systems including the Indian Army’s Integrated Electronic Warfare Systems and health monitoring for Indian Navy radar and combat systems.
My recent work spans autonomous drone landing, an automated goalkeeper robot, Transformer-based financial forecasting, and a BERT-based descriptive question answering system.
I’m particularly interested in building intelligent robotic systems that combine perception, prediction, and control — with an emphasis on reliability and real-time performance.
Skills
A blend of robotics, AI, and production-grade software engineering.
AI & Machine Learning
PyTorch, TensorFlow, Scikit-learn, OpenCV, BERT, GPT, YOLO, GANs, Transformers, Pandas, NumPy, Matplotlib
Robotics & Control
ROS, Simulink, NVIDIA Isaac Sim, PID tuning, inverse kinematic solvers
Backend & Systems
Django, FastAPI, REST APIs, MySQL, MongoDB, Qt, Git, Postman
Cloud & DevOps
AWS, Firebase, Linux/Unix, Docker, Kubernetes
Projects
Robotics, autonomous systems, and AI projects I’ve worked on recently.
Autonomous Drone Landing System
MATLAB · Simulink · HSV Segmentation
Integrated a ground-based line follower with a Parrot Mambo Minidrone for autonomous landing, achieving 95% detection reliability and landing within 5 cm in 80% of runs at platform speeds up to 0.2 m/s.
- PI controller for lateral alignment with < 8 pixel tracking error.
- Robust visual detection using HSV segmentation under varying conditions.
Automated Goalkeeper Robot
YOLOv8 · OpenCV · NumPy · MQTT · Raspberry Pi 5
Built a real-time ping-pong ball tracking and interception system with a custom YOLOv8 model, predicting trajectories and driving servo motors via MQTT.
- 92% mAP for ball detection with custom YOLOv8 model.
- ~2.7 ms/frame inference enabling real-time control.
S&P 500 Forecasting with Transformers
PyTorch · Temporal Fusion Transformer · LSTM · ARIMAX
Developed a deep learning pipeline for monthly S&P 500 forecasting by integrating macroeconomic indicators with market data to outperform classical econometric baselines.
- Experimented with domain-specific Transformer architectures for time series.
- Benchmarked against LSTM and ARIMAX models.
Descriptive Question Answering System
BERT · Transformers · PyTorch
Implemented a transfer learning–based descriptive QA system using a fine-tuned BERT model and a sentence ranking mechanism for accurate information retrieval.
- Published at IEEE Pune Section International Conference.
- Designed for descriptive, paragraph-level answers.
More Robotics & AI Projects
I’m actively expanding this section with new work in multi-agent systems, simulation-first workflows, and advanced perception. Check back soon for updates.
Experience
From mission-critical defense systems to intelligent automotive interfaces.
Software Executive · Tata Advanced Systems Limited
Mumbai, India- Led backend development for the Indian Army’s Integrated Electronic Warfare Systems (IEWS), managing a team of 6 engineers.
- Designed a Health Monitor library for Indian Navy projects (3D-ASR, CMS) to ensure system reliability.
- Automated Fire Controller Units for Dhanush, ATAGS, and Pinaka, reducing manual intervention by ~75%.
- Developed the Ballistic Logix library for ballistic range data handling, improving processing efficiency by ~60%.
Software Engineering Intern · Softnautics LLP
Pune, India- Developed a gesture-controlled automotive infotainment system using OpenCV and TensorFlow with 92% gesture recognition accuracy.
- Integrated ML algorithms with computer vision for a real-time control interface.
Achievements & Publications
Smart India Hackathon Winner
Won the world’s largest hackathon organized by the Ministry of Human Resource Development, India.
National Innovation Contest Finalist
Selected to represent MIT-ADT University at the National Innovation Contest by MHRD Innovation Cell.
IEEE Publication
Published “A Transfer Learning Approach For Descriptive Question Answering System” at the IEEE Pune Section International Conference.
Certifications
- Qt 6 Core with C++ (Beginner, Intermediate, Advanced)
- Machine Learning – Stanford University / Coursera
Contact
Interested in collaborating on robotics, AI, or autonomous systems? Let’s talk.
Email: gourishankar@asu.edu
LinkedIn: linkedin.com/in/gourishankarb/
GitHub: github.com/gourishankar27