Autonomous Systems & AI Engineer

Swarnim Bhadale

B.Tech Computer Science

An avid researcher focused on utilizing Computer Vision, edge computation and Artificial Intelligence for space & robotics applications. Researched on guided flight control systems for both model rockets and autonomous drones. Worked on satellite imagery analysis, Inertial Navigation Systems, GPS denied navigation, Trajectory and Pose Estimation and various other aerospace software problems. Interested in Research and Development role for developing applications for satellite systems.

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Swarnim Bhadale

Key Engineering Projects

A showcase of advanced computer vision pipelines, guidance algorithms, and flight software architectures.

Fligen Internship

Vision Positioning System

Researched and prototyped a deep-learning visual positioning algorithm using SuperPoint and LightGlue in PyTorch. Exported neural layers to ONNX and deployed on NVIDIA Jetson Orin Nano edge hardware for real-time, onboard pose matching and localized guidance inference.

PyTorch SuperPoint LightGlue ONNX Runtime Jetson Orin Nano
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Fligen Internship

GPS-Denied Indoor Navigation (Interno)

Developed semi-autonomous guidance software for indoor drones by fusing LIDAR-SLAM, Optical Flow, and Visual Inertial Odometry, which provides reliable indoor collision avoidance and heading holds.

LIDAR-SLAM Optical Flow VIO Sensor Fusion PX4 Autonomy
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Fligen Internship

Companion Computer Stack

Built flight software stacks capable of edge-compute AI processing on indigenous Indian hardware (Vicharak Axon), supporting the Make-in-India hardware ecosystem with highly optimized secure bridges.

Vicharak Axon Edge AI C++ / Python Bridges Make-In-India
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Fligen Internship

Flight Software Architecture

Contributed to a complete, top-down software architecture spanning low-level real-time device drivers through to high-level autonomy suites, with intense focus on modularity, reliability, and real-time performance.

Device Drivers Autonomy Suite Modularity RTOS Reliability
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Fligen Internship

Fleet Management Systems

Initiated research and system modeling into multi-drone fleet operations, swarm coordination, secure remote operations, and central tracking dash configurations.

Multi-Drone Fleet Swarm Coordination Mesh Networks Remote Operations

Collegiate Projects

Collegiate Project

Satellite Imagery Change Detection

  • Developed Siamese ViT and GAN pipelines for multi-temporal satellite change detection on roads and buildings.
  • Integrated SuperPoint and LightGlue feature matching to align image pairs and eliminate alignment errors.
  • Applied radiometric and histogram normalization to remove false positives from lighting and seasonal changes.
  • Processed high-resolution GeoTIFF imagery using Rasterio and TorchGeo while preserving spatial CRS metadata.
  • Engineered sliding-window tile inference to process multi-gigabyte satellite imagery within memory constraints.
  • Fine-tuned GAN discriminators to sharpen coarse ViT segmentation masks and refine complex structural edges.
  • Optimized model deployment using ONNX Runtime quantization to accelerate inference processing speed, evaluating with mIoU and Precision/Recall.
Siamese ViT / GAN SuperPoint / LightGlue Rasterio / TorchGeo ONNX Runtime mIoU Benchmarks
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TEAM ANANTAM @PCCOE

Fin-Controlled GPS Rocket

Researched and built control systems for a small-scale model rocket to maintain heading using real-time Inertial sensors and GPS telemetry. Developed dead reckoning flight path logic by fusing INS and GPS systems for robust heading holds.

INS / GPS Dead Reckoning Telemetry holding GNC Control Telemetry
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Collegiate Project

Autonomous Drone Obstacle Avoidance

Developed perception and navigation algorithms enabling an autonomous drone to avoid obstacles and identify critical targets autonomously during mission execution.

Autonomous Systems Target Detection Obstacle Avoidance PX4 Autonomy
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Collegiate Project

Altitude & Orientation Estimator

Implemented state estimation software for high-speed ballistic trajectory tracking and 6-DoF orientation estimation utilizing MATLAB and Simulink mathematical environments.

6-DoF Suite MATLAB Simulink State Estimation
Collegiate Project

State-Driven Flight Software

Built a state-machine flight controller using real-time sensor feedback for unguided rockets, flight-validated to a peak altitude of 300m.

State Machine Flight Controller RTOS Failsafe Sensor Reading
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Industry Experience

Jan 2026 - Jun 2026

Research Intern (Flight Software & Autonomy)

FLIGEN SYSTEMS PVT LTD

Worked on NVIDIA Jetson, Raspberry Pi, Pixhawk (PX4), ROS, PyTorch, and ONNX to advance drone autonomy:

  • GPS-Denied Navigation: Fused LIDAR-SLAM, Optical Flow, and Visual Inertial Odometry to achieve indoor collision avoidance.
  • Vision Positioning (VPS): Deployed SuperPoint + LightGlue neural networks on Jetson Orin Nano via ONNX for real-time onboard pose matching.
  • Companion Stack: Ported core flight stacks to Vicharak Axon Indian companion computers.
  • Low-Level Drivers: Wrote real-time hardware device drivers and flight autonomy layers.
Final Year Capstone Project

Team Lead / Flight Software & Avionics Lead

TEAM ANANTAM @PCCOE

Team Anantam is an elite student rocketry club promoting an innovative aerospace research culture, motivating members to design high-power rockets and participate in national competitions evaluated by space research organizations like ISRO:

  • Developed State-Based flight software for unguided experimental rockets up to 500-1000m using sensor fusion of inertial sensors (accelerometers, barometers, magnetometers) and GPS measurements.
  • Developed AI/ML based prototypes for satellite and camera imagery for problem statements such as image segmentation and feature recognition.
  • Developed supporting software such as Flight Trajectory Simulators, Launch Control Software, Internal Database, Ground Station softwares, and Telemetry Parsers.
  • Developed entire plans from SOPs, checklists, MSDS sheets, Launch Procedures, and Engineering workflows to streamline development and research.
  • Created systems for hierarchy, conflict resolution, data flow, and responsibilities within the team.
  • Generated templates for PDR, CDR, Post-Flight reviews, Testing Data, Testing Plans, and Timelines.

Technical Competencies

Autonomous Systems

PX4 / Pixhawk Lidar-SLAM Visual Inertial Odometry ROS Optical Flow Sensor Fusion GPS-Denied GNC Drone Swarms

AI/ML & Geospatial

Computer Vision PyTorch SuperPoint & LightGlue Edge AI Deployment ONNX & TensorRT Satellite Imagery Analysis Feature Recognition

Hardware & Languages

NVIDIA Jetson Orin Vicharak Axon Raspberry Pi C++ Python MATLAB & Simulink IsaacSim Real-Time Linux

Education

Pimpri Chinchwad College of Engineering (PCCOE) B.Tech Computer Science Engineering (2022 - 2026)
APJ College of Science and Commerce 12th Grade, Wakad, Pune
Coppell High School 10th Grade, Dallas, Texas, USA

Publications & Achievements

Published research articles, community outreach, and special awards.

Research Publication

Personalized Backup & Storage

Developed completely private and lightweight local cloud storage model based on the Vicharak Axon edge platform.

🏆 Best Paper Award (Security Track, Abhinav 2K26)
Machine Learning Research

ML Student Dropout Detection

Designed a predictive machine-learning neural model on educational data aggregates to flag at-risk dropout cases for early academic interventions.

Network Security Research

DDoS Mitigation via ML Analysis

Designed an active, real-time response pipeline utilizing anomaly classifiers to detect and mitigate DDoS attacks, improving overall network resilience.

FIRST LEGO League Judge & COMET Volunteer

Certified by FIRST, USA - Organised and judged FLL robotics events, mentoring youth in STEM.

Languages Exposure

Fluent in: English, German (A1 Certified), Hindi, Marathi. Backed by international schooling in the UK and USA.
System Architecture

Project Architecture

Data processing and control execution flow pipeline

💡 Interactive Viewport: Hover over key blocks to focus subsystems. Drag/scroll horizontally on small screens.

Open for Opportunities

I am actively seeking full-time roles and R&D opportunities, specifically as an AI Scientist / ML Engineer (Vision/Robotics), Autonomous System Engineer, Robotics Engineer, Perception Engineer, or Research Engineer. If you're hiring, looking to collaborate on intelligent systems, or want to discuss cutting-edge space & robotics innovations — let's connect!

Email swarnimbhadale@gmail.com
Phone +91 72081 97015
LinkedIn linkedin.com/in/swarnim-bhadale