Nilesh Sarkar

Research & Experience

• Dec 2025 - Present
  

  Medical AI: Deep Learning for Cancer Detection Research
  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 AI Computer Vision PyTorch
• 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 Efficiency PyTorch CUDA Model Compression
• June 2025 - Present
  

  Moog Controls : Applied AI Research Intern Internship
  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.
  RAG Generative CAD Safety-Critical
• Nov 2025 - Present
  

  Autonomous Intelligence & Robotics (AIR): Drone Project Research 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.
  Robotics Computer Vision UAV
• Sep 2025 - Present
  

  Project Humanoid Robot Research 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.
  Teleoperation Robotics Control Systems Human-Robot Interaction
• Feb 2026 - Present
  

  Erdos AI Labs : Research Scientist Research
  Working as a Research Scientist on cutting-edge AI research and advancing the state of the art in machine learning.
  AI Research Machine Learning

Leadership, Community & Ventures

• Nov 2025 - Present
  

  E-Cell DSU: Tech Lead Leadership
  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 & CTO Venture
  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 3D CAD AI Parametric Design Physics-Aware PyTorch
• 2024 - Jan 2026
  

  Roboverse: Core Committee Member Community
  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 Committee Leadership
  I lead the organization of technical workshops, expert talks, and hackathons centered on AI and robotics, fostering an active learning environment for peers.

Education

• 2023 - 2027
  

  Dayananda Sagar University, Bangalore B.Tech
  Artificial Intelligence and Robotics Engineering
  
  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 Vision LLM/ML/AI Deep Learning ROS Robotics CNN Transformers Reinforcement Learning

Latest Blogs & Events

• India AI Impact Summit 2026
  Feb 2026 • Conference
  Representing DSU at India's premier AI conference in New Delhi, engaging with 250+ companies, showcasing university innovation and presenting research on LLM Architecture, Medical AI, and Autonomous Drones.
• The Sutskevers List
  AI Community
  A curated collection of AI researchers, engineers, and innovators shaping the future of artificial intelligence and their groundbreaking work in the field.
• Language Modeling Experimentation
  Jan–Feb 2026 • Ongoing
  Hands-on experiments fine-tuning LLMs for low-resource languages (Hindi, Kannada), testing capacity thresholds (Qwen 0.5B vs 7B), and deploying on edge hardware (Jetson Nano). Exploring QLoRA, quantization, and practical constraints.

Get In Touch