Open to Senior Roles

Sujit
Nalawade

Senior Machine Learning Engineer specializing in Computer Vision, Deep Learning, and scalable AI inference systems — building things that see and understand the world.

7+
Years Exp.
1000+
Cameras Live
200+
Retail Registers
✉ Get in Touch ↗ LinkedIn
Sujit Nalawade

Sujit Nalawade

Senior ML Engineer @ Adagrad AI
📍 Pune, India
🎓 PGD Data Science — IIIT Bangalore
🎤 NVIDIA GTC Speaker (2021, 2022)
📧 technosujit25@mail.com
📱 +91 8329132283
// About Me
Building AI that
sees the world

I'm a Senior ML Engineer with 7+ years of experience building and deploying machine learning systems at scale. My work sits at the intersection of computer vision, deep learning, and production engineering.

From real-time video pipelines processing thousands of camera feeds to inference servers handling high-throughput batched requests — I specialize in taking research-grade models and turning them into robust, production systems.

I've spoken at NVIDIA GTC twice, sharing work on object detection at 1770 FPS and geometric deep learning with TensorRT.

// Work History
Experience
Senior Machine Learning Engineer
Adagrad AI Pvt. Ltd. — Pune, India
Apr 2020 – Present
  • Design and develop scalable Computer Vision and NLP pipelines for real-world production deployments.
  • Lead cross-functional teams designing solutions handling 1000+ live camera feeds globally.
  • Architect high-performance inference systems using NVIDIA Triton, TensorRT, and DeepStream SDK.
Machine Learning Engineer (NLP) — Freelance
Lineslip Solutions Pvt. Ltd. — New York City
Dec 2018 – Apr 2020
  • Trained Word2Vec and Gen-sim embeddings for specialized insurance document corpora.
  • Improved NER F1 score from 0.60 → 0.85 using BiLSTM + BERT architectures.
  • Built a Doc2Vec-based document classifier achieving F1 score of 0.93.
Software Engineer
Xoriant Solutions Pvt. Ltd. — Pune, India
Jun 2016 – Mar 2020
  • Developed a data masking library for anonymizing PII in XML documents at scale.
  • Designed a payload management web interface using Angular and Node.js.
  • Certified: Microsoft Azure — "Developing Microsoft Azure Solutions".
// Selected Work
Projects
🎥

DNSTAR

High-performance deep learning inference pipeline for real-time video processing. Deployed globally, monitoring 1000+ cameras with state-of-the-art object detection and classification.

👤

REID & MATCHING

Cross-camera person re-identification by matching feature vectors. Reduced execution time from 72 hours → 3 hours via multiprocessing and multithreading optimizations.

🛒

CHECKOUT ACCURACY

Video pipeline detecting unbilled goods at checkout. Deployed across 200+ registers in US and Canada, significantly reducing shrinkage and improving inventory accuracy.

🚗

GATEGUARD

Real-time vehicle number plate identification deployed across multiple sites in India, enhancing security through accurate vehicle logging in varied conditions.

🏠

NOBI ENGINE

Oriented bounding box detection pipeline monitoring elderly residents in care homes. Detects falls and unusual activity, alerting caregivers in real time.

⚡

TRITON INFER ENGINE

Inference API server supporting multiple models on NVIDIA Triton with batched inference, optimizing GPU utilization for high-throughput production AI workloads.

💬

TAXBOT

RASA-based chatbot for tax-related queries deployed on AWS EC2, combining NLU model training with conversational AI for accurate, user-friendly assistance.

🏪

POSEIDN

Pose estimation pipeline for retail analytics — estimates customer interactions and shopping behavior to help optimize store layouts and improve experience.

// Technical Stack
Skills

Expertise

Computer VisionObject DetectionImage ClassificationNLPDeep Learning

Languages

PythonC++C

ML / Vision

PyTorchPyTorch LightningCUDATensorRTONNXRuntimeScikit-LearnOpenCV

NVIDIA Stack

DeepStreamTritonGStreamer

NLP / LLM

HuggingFaceSentence TransformersRASA

Backend / DevOps

Django RESTFlaskDockerGitHub ActionsPostgreSQLMySQL
// Background
Education
Post Graduate Diploma in Data Science
International Institute of Information Technology, Bangalore
Sep 2018 – Sep 2019
Bachelor of Computer Engineering
University of Pune, Pune, India
Jun 2012 – Jul 2016
// Public Speaking
Conference Talks
GTC 2022
Save Thousands of Man-hours with Geometric Deep Learning and TensorRT
NVIDIA GPU Technology Conference
GTC 2021
Object Detection at 1770 FPS: Designing CNNs that Scale Using DeepStream SDK
NVIDIA GPU Technology Conference