I am an AI and reinforcement learning engineer cultivating multi-agent self-play systems, computer vision, and defensive architectures. Grounded in patience, computational harmony, and unadorned precision.
Continuous self-play convergence without policy degeneration.
Seeker equilibrium achieved in pursuit-evasion benchmarks.
Training multi-agent actors with PPO and MADDPG, allowing optimal coordination to emerge organically through environment friction.
Utilizing Stable Diffusion and ControlNet at MeitY to embed subtle dual-value cryptographic signatures invisible to the restless observer.
Deploying ARIMA time-series models onto scalable IBM Cloud infrastructure with clean, calm architectural minimalism.
Researched aesthetic error-corrected QR steganography utilizing Stable Diffusion and ControlNet. Designed distance-based cryptographically signed payloads supporting tiered access authentication.
Trained predictive ARIMA time-series forecasting pipelines and served containerized endpoints on IBM Cloud infrastructure.
Mentored an engineering group of 15+ student developers to a 90% project delivery benchmark, fostering mindful collaboration.
PyTorch self-play reinforcement learning system utilizing PPO with GAE. Parallelized over 8 CUDA environments (30M steps) with 102-ray perception and 95% victory rate.
Autonomous taxi simulation combining MADDPG with dynamic A* pathfinding. Slashed passenger wait times by 20% across 100+ concurrent simulated entities.
Random Forest classifier with 96% accuracy; optimized via GridSearchCV and rigorous data normalization for educational intervention.
End-to-end Python pipeline converting structured data into automated video media using MoviePy and REST APIs, reducing manual latency by 90%.
Python (Proficient), C/C++, JavaScript, SQL, CUDA GPU Acceleration, Linux.
PyTorch, scikit-learn, Keras, NumPy, Pandas, PPO, MADDPG, GAE, Self-Play Dynamics, Pymunk.
Stable Diffusion, ControlNet, Cryptographic Verification, Error-Correction QR, OpenCV.
B.Tech in Information Technology, Manipal University Jaipur (Aug 2022 – May 2026).
Available for engineering roles in 2026. Reach out directly via email or telephone.