Shubham Baid — Senior AI Engineer

About

AI & Computer Vision Engineer with 5+ years of experience building production systems across Multimodal LLMs, Computer Vision, and Edge AI. Started from internship to founding-team Lead Engineer — with a track record across safety-critical deployments, agentic automation, and hardware-constrained inference optimization.

Has contributed to an M&A exit, deployed systems across 1,500+ sites (schools, warehouses, and more), won tracks at Europe's largest hackathon and NASA Space Apps, holds 2 publications and a patent, and is currently building autonomous manufacturing planning systems at a pre-seed stealth startup.

Core philosophy: rapid prototyping, rigorous real-world testing, and keeping an eye on how models perform under deployment constraints — not just benchmarks. Founded and led Google Developer Student Club (GDSC) REVA during undergrad.

Quick Stats

Experience5+ years

Sites Deployed1,500+

Publications2

Patent1

Certifications5

Hackathon wins2 tracks

LocationBengaluru, India

Links

LinkedIn GitHub Twitter Medium Email

Experience

Stealth Startup

Applied AI · Pre-Seed

Apr 2025
Present

Lead AI Engineer — Founding Team

Designing and orchestrating highly-scaled multi-agent systems for complex planning and data extraction workflows — reducing end-to-end decision and logic building cycles from hours → minutes.
Developed a perceptual compression scheme decoupling human-visual fidelity from machine-interpretable signal retention: 80% bandwidth ↓ with 99% task-relevant semantic preservation for downstream VLM inference.
Built end-to-end streaming pipeline: Encode → Stream → Decode → VLM forward pass, with robust CPU/GPU fallback for edge devices.
Benchmarked LLaVA, Qwen-VL, and custom models for throughput-per-watt on edge hardware.

Multi-agent AIVLMsEdge StreamingCrewAILLaVAQwen-VL

CAFU

Fuel Delivery Tech · Dubai

Jan 2025
Apr 2025

AI Engineer

Designed LLM-based agentic content generation workflows → +15% CTR, −50% manual copywriting time.
Optimised ML-based ETA prediction system → reduced delayed fulfillment from 13% to 8%, cutting breaches (>5 min) by 42% over 3 months.
Built autonomous B2B lead pipeline processing 1,400+ prospects/mo → 90% reduction in manual prospecting hours, improved CAC, 4 high-conversion leads generated.

Agentic AILLMsML OptimizationPython

Avathon

Formerly SparkCognition

May 2022
Jan 2025

Senior AI Engineer

Led deployment of VAIA School Safety Suite (firearm detection, person Re-ID) across 100+ cameras in US schools — real-time at scale.
Integrated Multimodal LLMs into traditional CV pipelines to handle complex edge cases.
Engineered CV pipelines for low-power ARM hardware using NEON instruction sets + model quantization → 50% CPU ↓.
Led development of a gamified auto-image annotation tool using active learning — accelerated dataset prep velocity significantly.
Managed and mentored a team of AI engineers.

Computer VisionTensorRTNEONMultimodal LLMsTeam Lead

Integration Wizards

Acquired by SparkCognition

Sep 2020
May 2022

Sr. AI Engineer → AI Engineer → Intern

Developed ALPR system — SOTA 2021, hybrid CPU/GPU inference, real-time capable.
Migrated legacy CV models to NVIDIA DeepStream + TensorRT GPU pipelines — substantially reduced inference latency.
Built custom detection models: PPE detection, fall arrester detection, vehicle body-type classification for industrial safety.
Core AI technology contributed to the company's M&A exit — acquired by SparkCognition.

ALPRDeepStreamTensorRTPPE DetectionEdge AI

Skills

Computer Vision

Object Detection (YOLO, SSD)95%

OpenCV / Image Processing96%

Person Re-ID & Multi-cam Tracking88%

Deep Learning

PyTorch93%

TensorFlow / Keras90%

Model Architecture Design88%

LLMs & Generative AI

Agentic Workflows (CrewAI)90%

Multimodal LLMs (VLMs)88%

RAG Pipelines85%

Edge AI & Optimization

TensorRT / CUDA91%

ARM / NEON Optimization87%

NVIDIA Jetson / DeepStream92%

Projects

Production

VAIA School Safety Suite

Led development of multi-camera safety system with firearm detection and person re-ID. Deployed across 100+ cameras in US schools in real-time.

Object DetectionPerson Re-IDMulti-camera

HackZurich 2021 🏆

YetiCoach

Real-time ski coaching from action camera footage only — analyzes ski angles, gap, and technique. Won Sunrise GMBH, Huawei & Swisski track.

Computer VisionSports TechPython

NASA 2021 🏆

Aegir — Ocean Debris AI

CV & deep learning platform on satellite/UAV imagery to locate, classify, and predict ocean debris trajectory for cleanup coordination.

Deep LearningSatelliteEdge AI

Argus

Autonomous drone system generating critical disaster-zone data: locality density, population estimates, depth maps for responder coordination.

Deep LearningUAVDisaster Tech

AutoSnotBot

Drone with custom YOLO model detecting whales from aerial footage and autonomously collecting snot samples for algal bloom prediction research.

YOLOUAVDeepStream

Hailey — AI Writing Assistant

AI writing assistant using Hugging Face Transformers + GPT-2 for contextual text generation and sentence completion.

TransformersGPT-2NLP

Production

Automatic License Plate Recognition

SOTA 2021 ALPR module with minimal resource footprint, hybrid CPU/GPU inference paths, real-time deployment-ready.

OCRTensorRTGPU Inference

Cap for Blind

Arduino-based wearable with ultrasonic sensors providing haptic feedback to assist visually impaired individuals in navigation.

ArduinoIoTAssistive Tech

Publications & Patent

JAZ 2023 · Vol 44, p938 · April 2023

Text Generation Tool for Writing Assistance using Transformer

Transformer-based writing assistance system. Submitted August 2020, published April 2023.

NLPTransformersGenerative AI

Read Paper

TEST Engineering & Management · May 2020

Detection of Different Degrees of Skin Burn using YOLOv3

YOLOv3-based model for accurate detection and classification of skin burn severity to aid medical diagnosis.

Computer VisionYOLOv3Medical AI

Read Paper

Patent · Transformer Writing Assistance System

System and Method for Text Generation Tool for Writing Assistance Using Transformer

Patent on the transformer writing assistance system — same work independently published academically, demonstrating both research depth and IP value.

Patent Holder

Education & Recognition

Education

B.Tech, Computer Science REVA University · 2017 – 2021 Best Outgoing Student · Founded GDSC REVA

Certifications

NVIDIA Jetson AI SpecialistEdge AI deployment on Jetson hardware

Intel Edge AI SpecialistAI optimization on Intel hardware

TensorFlow Developer CertificateGoogle-certified TF expertise

Convolutional Neural Networksdeeplearning.ai / Coursera

Neural Networks & Deep Learningdeeplearning.ai / Coursera

Awards & Recognition

🏆

Track Winner — HackZurich 2021Europe's largest hackathon · YetiCoach (Sunrise GMBH, Huawei & Swisski track)

🚀

Track Winner — NASA Space Apps 2021International NASA hackathon · Project Aegir

⭐

Best Outgoing Student 2021REVA University

🌌

NASA Galactic Problem Solver × 22019 & 2020 — NASA Space Apps

🥈

2nd Place — Hackfest 2019National Level · REVA University

🥈

2nd Place — Sentinal Hack 2.0State Level · KSIT

Contact

I'm interested in senior AI/ML engineering roles, technical collaborations, and research that pushes what's possible at the intersection of vision and language. If you have something worth discussing — reach out.

Emailshubhambaid99@gmail.com

LinkedInlinkedin.com/in/shubhambaid21

Twitter / X@shubhamkahanhai

GitHubgithub.com/shubhambaid

Response time: usually within 24 hours.
Based in Bengaluru, India — open to remote-first roles globally.

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ShubhamBaid