Rahul Kumar — Operations Associate

I am a software engineer who enjoys building real, working systems the kind that don’t just look good on paper, but actually perform in production. Currently, I am pursuing my M.Tech in Information Technology from NSUT, New Delhi, after completing my B.Tech in Electronics & Communication Engineering from DTU. Over time, my interests naturally shifted toward AI, machine learning, intelligent systems, and backend engineering, where logic, data, and systems come together. I’ve worked as a Software Engineer at Futuristic Bots, where I was involved in developing solutions for industrial automation and mobile robotics. My work included designing and optimizing path-planning algorithms, working with ROS, C++, Python, SLAM, LiDAR, and Linux, and improving navigation efficiency in warehouse environments by nearly 20%. That experience taught me how theory behaves when it meets real-world constraints and I value that learning deeply. Beyond industry work, I have a strong inclination toward research and system-level AI development. I’ve worked on projects like a Healthcare Retrieval-Augmented Generation (RAG) system using Knowledge Graphs (Neo4j), LangChain, FastAPI, and Docker, enabling natural-language queries over structured medical data. I care a lot about explainability, trust, and clean system design, not just model accuracy. My research exposure includes work on emotion recognition using deep learning, where I achieved over 92% accuracy and presented the findings at a research conclave, as well as 5G mmWave MIMO antenna design, which was accepted for IEEE conference publication. These experiences helped me build a strong balance between software, AI, and core engineering fundamentals. Technically, I’m comfortable taking ownership of the entire development lifecycle from writing models and algorithms to building FastAPI backends, working with databases, deploying using Docker, and maintaining Linux-based systems. Alongside this, I actively practice Data Structures & Algorithms and competitive programming, which keeps my problem-solving sharp and structured. I am someone who values clarity over buzzwords, systems over shortcuts, and learning that compounds over time. Areas I work in:- AI & Machine Learning,Backend & API Development,Knowledge Graphs & RAG Systems,Robotics & Autonomous Navigation,Research-oriented Engineering. Open to:- AI/ML Engineering • Software Engineering • Research-driven roles • Backend Systems • High-impact engineering teams

Stackforce AI infers this person is a Robotics and AI-focused Software Engineer with strong web development skills.

Location: New Delhi, Delhi, India

Experience: 2 yrs 7 mos