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Kartik User

@kartikishere

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Machine learning and edge-AI engineer building real-time UAV perception and sensor-fusion systems.

India

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What I'm looking for

I’m looking for a role where I can ship edge-deployed ML for real-time perception—UAV/robotics or vision-heavy products—while working closely with hardware and software teams to improve latency, accuracy, and robustness.

I’m a mechanical engineering student applying machine learning to real-world systems—especially autonomous platforms where perception must run reliably under tight compute limits. I’ve led UAV and edge AI projects spanning CAD modeling, sensor fusion, and real-time inference, with reinforcement learning exploration for adaptive trajectory control.

I build end-to-end pipelines that connect algorithms to deployable hardware: from developing an IMU + barometer + camera fusion stack for state estimation to delivering an ESP32-CAM waste-sorting classifier with a full servo-actuated workflow. Alongside engineering, I bring collaboration and execution from startup go-to-market work and hands-on manufacturing exposure through a BHEL summer internship.

Experience

Work history, roles, and key accomplishments

Current

AI-Enabled Autonomous Glider

Current

NIT Jalandhar

Jan 2025 - Present (1 year 5 months)

Designed a fixed-wing UAV concept with onboard AI flight control and a real-time perception pipeline, including full CAD modeling in SolidWorks. Built a sensor-fusion state-estimation pipeline (IMU + barometer + camera) and explored reinforcement learning for adaptive autonomous trajectory following on embedded hardware.

Reinforcement Learning State Estimation IMU And Barometer Fusion Flight Control Systems Sensor Fusion

Summer Intern

Bharat Heavy Electricals Limited

May 2026 - Jun 2026 (1 month)

Supported plant-floor operations and observed PLC-based automation systems used in turbine and transformer production lines. Prepared a structured internship report covering fabrication and quality-control workflows.

Industrial Automation Control Panel Diagnostics Manufacturing Processes Quality Control Technical Reporting

EcoSort Waste Segregation

SKICC Srinagar

Jan 2024 - Jan 2025 (1 year)

Built an AI waste-segregation system achieving over 90% classification accuracy using a real-time CNN classifier. Deployed the model on ESP32-CAM with a servo-actuated sorting mechanism and designed low-cost hardware for scalable implementation.

ESP32 CAM Deployment

Wearable Muscle Strain Device

NIT Jalandhar

Developed a wearable muscle strain sensing device using a dual-microcontroller setup (Arduino + ESP32) with ML-based strain pattern analysis for live injury prediction. Achieved under 50 ms inference latency suitable for real-time athlete monitoring and was recognized as a top innovative student project at Sports Fest Jalandhar 2024.

ESP32 Muscle Strain Pattern Analysis Injury Prediction

Business Development Intern

Legacy Loom

Assisted go-to-market strategy and client outreach while coordinating with product and marketing teams. Conducted competitor analysis and created pitch materials for potential partners.

Business Development Go To Market Strategy Client Outreach Competitor Analysis Partner Pitching Cross functional Coordination Market Research

Education

Degrees, certifications, and relevant coursework

National Institute of Technology, Jalandhar

Bachelor of Technology, Mechanical Engineering

Grade: CGPA 8.1/10 (Semesters 1–3)

Activities and societies: Winner—Ideathon 4.0 (NIT Jalandhar); Winner—Innovation Summit 1.0 (NIT Jalandhar); Best Innovation Award—BIS World Standards Day 2024.

Pursuing a B.Tech in Mechanical Engineering at NIT Jalandhar with CGPA 8.1/10 (Semesters 1–3), expected to graduate May 2028. Focus areas include machine learning, edge AI, embedded systems, autonomous UAVs, computer vision, and sensor fusion.