Ganesh Govind

• Self-driven with a constant hunger for innovative challenges.
• Analytical & execution-driven professional with strong problem-solving capabilities, cross-functional collaboration skills, attention to quality, and high professional integrity.
• Passionate about Technological Innovations and greatly interested in working on building Deep Learning driven products and solutions.

• N-CCAV Indian Navy iDEX Project (Abhimanyu)

Working in collaboration with the Indian Navy on the R&D, edge deployment of multiple custom deep learning vision models for real-time detection & identification.

• RGB & IR Visual Navigation System for Drones (In patenting process)

Built & exhaustively tested a VNS for GNSS- denied/degraded RGB & IR environments. This can be used as a plug-and-play module on any UAV/drone.

• Agentic Pipeline for Auto Annotation of Imagery

Designed and deployed a 5-stage fully agentic orchestrated pipeline for video ingestion, frame extraction, preprocessing, caption generation, multi-class annotation, and depth map generation.

• ML & Signal Processing based Vehicle Classification for Intrusion Detection

Developed & tested a low-power customized algorithm using auto-correlation of seismic & acoustic signals and further used a combination of various ensemble ML algorithms such as KNN, Random Forest for decision fusion to classify vehicles in order to avoid vehicle intrusion at border which was also deployed on a Raspberry Pi 3 board.

• God’s Eye Module (GEM)

Developed, trained, and validated a real-time image stitching and satellite overlay algorithm using GPS-based localisation with feature-matching correction for enhanced positional accuracy.

• Deep Neural Network for Anomaly Detection

Developed, trained and tested multiple Transformer-based Siamese models for detecting man-made changes in images

• VLM & OCR based Text Extraction from Books

Trained various SOTA VLMs (Qwen2.0, LLaVA, Claude3.5) to process a collection of essays in various Indian languages & compared it against the OCR (PyTesseract) benchmark wrt CER & WER etc.

• EMIR Power-Signal Integrity flows & ML Scripts

Designed and deployed production level power-signal integrity flows at Intel, Samsung for EMIR analysis used for sign-off and collaborated on co-developing user level ML scripts for early grid analysis at Intel.

• Deep Learning 5 course Specialization- Coursera/deeplearning.ai (Passed with 98.2% Distinction)
• Transformer Layer by Layer - deeplearning.ai
• Intermediate Machine Learning, Practical DL with PyTorch – Kaggle & Udemy
• Publication in IJEET (Scopus Indexed): Design and development of a novel QA Regression Infrastructure
• Communication with TACT (Dale Carnegie) (Passed with Distinction)
• VSD-IAT Physical Design (Passed with 99% Distinction)

• “Exceeds Expectations” at NewSpace.
• Spot-award for "Customer Focus" as a part of key contribution & critical debugs at Ansys.
• "Collaboration & Teamwork" award for Totem at Ansys
• “Results & Accountability" award for quick ramp-up and contributions to Totem-SC development at Ansys.
• NTSE State & National Level Scholar
• Abacus UCMAS Grandmaster

• Junior degree in Tabla with a passion for music & singing.
• Love playing chess, football & online FPS multiplayer games.
• Avid reader of self-development books, fiction novels and autobiographies.