Medical AI: Deep Learning for Cancer DetectionResearch
I'm researching how deep learning architectures can be applied to medical imaging. My focus
is on improving the accuracy of automated cancer detection using histopathology analysis
and generative data augmentation.
Medical AIComputer VisionPyTorch
Jan 2025 - Present
Language Modeling
Experimentation (Ongoing Project)Experiments
Hands-on experimentation with large language models: fine-tuning across parameter scales
(0.5B → 7B), testing quantization techniques (QLoRA, 4-bit/8-bit), and deploying models
on edge devices (A100 → Jetson Nano). Exploring capacity thresholds for multilingual
instruction-following and practical deployment constraints.
LLM EfficiencyPyTorchCUDAModel Compression
June 2025 - Present
Moog Controls : Applied AI Research
InternInternship
I'm currently interning at Moog Controls in Bengaluru, working on safety-critical AI systems.
My focus is on RAG pipelines (using LangChain and LangGraph) to improve reliability
and traceability in engineering high-stakes environments.
So far, I've refined internal RAG systems, boosting retrieval accuracy from 70% to over 80%.
I'm also exploring LLM-orchestrated CAD generation and automated engineering workflows.
My internship was recently extended to continue developing AI agents for operational
and supply-chain domains.
RAGGenerative CADSafety-Critical
Nov 2025 - Present
Autonomous Intelligence & Robotics (AIR): Drone ProjectResearch Group
Within the Autonomous Intelligence & Robotics research group, I research autonomous drone systems. I implement real-time
computer vision algorithms for object detection and navigation, working towards deploying
intelligent UAVs in complex, real-world environments.
RoboticsComputer VisionUAV
Sep 2025 - Present
Project Humanoid RobotResearch Project
I'm developing a teleoperated robotic arm system for humanoid robotics. This involves
writing control algorithms that make human-robot interaction more intuitive. The goal
is to achieve precise manipulation in semi-structured environments by reducing latency
and improving movement fidelity.
TeleoperationRoboticsControl SystemsHuman-Robot
Interaction
Feb 2026 - Present
Erdos AI Labs : Research ScientistResearch
Working as a Research Scientist on cutting-edge AI research and advancing the state of the art in machine learning.
AI ResearchMachine Learning
Leadership, Community & Ventures
Nov 2025 - Present
E-Cell DSU: Tech LeadLeadership
I'm leading the development and implementation of technology initiatives to support entrepreneurial ventures.
I oversee technical infrastructure, guide the tech team on best practices, and bridge the gap between business
ideas and technical solutions for aspiring entrepreneurs within the university.
Nov 2025 - Present
VeerNeo: Co-founder & CTOVenture
Architecting the AI framework for parametric 3D intelligence. Building a proprietary AI engine
that converts natural language into production-ready parametric CAD geometry.
Prompt to CAD. Idea to Reality.
Our neural engine enables engineers and designers to describe their intent and let physics-aware
generative 3D models handle the complex topology. Real-time FEA, kinematics, and manufacturing-ready exports.
Generative 3DCAD AIParametric DesignPhysics-AwarePyTorch
2024 - Jan 2026
Roboverse: Core Committee MemberCommunity
I actively coordinate and conduct tech talks, hands-on workshops, and hackathons, helping to bridge the gap
between theoretical concepts and practical application in AI and robotics.
2024 - Jan 2026
IEEE RAS CIS SBC DSU: Student Executive CommitteeLeadership
I lead the organization of technical workshops, expert talks, and hackathons centered on AI and robotics,
fostering an active learning environment for peers.
I've contributed to my department's academic framework by helping design
the curriculum and lab manuals for the LLM Engineering syllabus. This initiative bridges
theoretical fundamentals with hands-on implementation for my peers.
Computer VisionLLM/ML/AIDeep LearningROSRoboticsCNNTransformersReinforcement Learning