CV Resume

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Updated September 2026

Raj Tibarewala

AI / ML Engineer · Software Engineer — machine learning for autonomous systems

raj.tibarewala@gmail.com +91 91298 37866 github.com/RajTib linkedin.com/in/raj-tibarewala raj-tib.vercel.app Vellore, India

Education

Vellore Institute of Technology, Vellore

B.Tech Computer Science and Engineering (Cyber Security) · CGPA 8.65 / 10

Experience

Team Ardra — Software & R&D, Autonomous Drone Systems

  • Build and validate embedded Linux software for onboard compute (NVIDIA Jetson Orin Nano, Raspberry Pi) on autonomous drone platforms.
  • Prototyped an onboard vision-serving architecture (FastAPI, PyTorch, Hugging Face DETR) that decouples camera capture, threaded model inference and live video streaming, so slow inference does not stall the feed.
  • Deploy edge ML inference within latency, power and compute budgets; debug integration issues across sensor, compute and control layers.

Pinnacle Labs — Cybersecurity Intern (remote)

  • Built Python security tooling: a hybrid AES + RSA encryption tool and an input-capture research tool for studying interception techniques.

Projects

AegisFlight — ML-Based Drone Intrusion Detection

IIT Bombay TechFest 2026, PUSHPAK Grand Challenge (Stage 1 submitted) · Python, scikit-learn, NumPy, Pandas, pymavlink, FastAPI, React

  • Explainable IDS over simulated MAVLink 2 telemetry, fusing protocol-rule, physics-consistency, ML anomaly (benign-only Isolation Forest + Mahalanobis over 11 online features) and SHA-256 firmware-integrity detectors.
  • Reproducible evaluation: session-level splits, multi-seed attack-scenario benchmark (23k+ decisions), ML-off ablation, and replay of public PX4 / ALFA flight logs for false-alarm and sim-to-real (KS test) analysis.
  • FastAPI / WebSocket backend, React dashboard, and a pytest suite spanning unit, integration, end-to-end and API tests.

GeoAI — Rooftop Mapping from Drone Orthophotos

IIT Bombay TechFest 2025 · Python, Ultralytics YOLOv8, SegFormer, OpenCV, rasterio, Shapely, Docker

  • Turned village-scale GeoTIFF orthophotos and shapefiles into training data: CRS alignment, 640×640 tiling, empty-tile filtering, shapefile-to-label generation, 70/20/10 split, label and CRS validation, visual QA.
  • YOLOv8 rooftop detection with four-class roof classification (RCC, Tin, Tiled, Others) and utility detection; SegFormer segmentation of water bodies and roads; Dockerized inference.

Hubble Constant Estimation — Astrophysics Data Analysis

India Space Academy · Python, NumPy, Pandas, Matplotlib

  • Estimated the Hubble constant and the age of the universe from Type Ia supernova data; compared the result against Planck 2018.

Infinity-Snap — Gesture-Based File Automation

Python, OpenCV, MediaPipe

  • Real-time computer-vision pipeline mapping webcam-detected hand gestures to OS-level file operations.

Research

“Nuclear Thermal Rocket: Design Considerations and Efficiency Optimization for Deep-Space Explorations”

Co-authored under faculty supervision — literature review, background research, technical structuring and manuscript preparation.

Skills

Languages
Python, C++, C, Java, JavaScript, SQL
ML & data
scikit-learn, NumPy, Pandas, SciPy, Matplotlib, Jupyter; anomaly detection, feature engineering, model evaluation, ablation, statistical analysis
Deep learning & CV
PyTorch, Ultralytics YOLO, Hugging Face Transformers, OpenCV; object detection, semantic segmentation, geospatial imagery (rasterio, Shapely)
Systems
FastAPI, Docker, Linux, Git / GitHub, pytest, NVIDIA Jetson Orin Nano, Raspberry Pi
Frontend
React, JavaScript
Learning
LLMs, RAG, LangChain, inference optimization