Summary
Overview
Work History
Education
Skills
Projects
Patent
Timeline
Generic

Vijay Singh Rajpurohit

Pali

Summary

Experienced Product head with over 8+ years of experience in Computer vision and NLP. Excellent reputation for resolving problems, improving product development, and proven track record in the startup environment.

Overview

9
9
years of professional experience

Work History

AI Developer

Freelance
12.2019 - Current
  • Designed and built RAG architectures, integrating retrieval models with pre-trained LLMs.
  • Curated and managed external knowledge sources for RAG systems, ensuring data relevance and quality.
  • Developed prompt engineering techniques to effectively guide LLM generation based on retrieved information.
  • Evaluated and fine-tuned RAG systems to optimize performance for specific tasks and domains.
  • Collaborated with cross-functional teams (e.g., data scientists, engineers, product managers) to integrate RAG-LLM solutions into real-world applications.
  • Developed video processing pipelines using DeepStream for tasks like object detection, tracking, classification, and anomaly detection.
  • Integrated pre-trained deep learning models (e.g., YOLOv8, DeepSORT) with DeepStream for efficient inference on NVIDIA GPUs.
  • Optimized DeepStream pipelines for latency, throughput, and resource utilization on edge and cloud deployments.

Head of Products

Mirrorsize Us Inc
07.2018 - 10.2019
  • Started with team lead, developed and deployed full product architecture which included 6-7 deep learning models along with 3d mesh processing in a single product API
  • Researched and brought out of box solution for the product development and solved various roadblocks for the product deployment
  • Worked closely with IIT delhi professor for development of computer vision and mesh processing algorithm (patent pending)
  • Recruited and trained interns and associates for the product development for all the domain and aspect of the product including core computer vision product, front-end and back-end platforms
  • Self learned and filled the gaps where company lacked resources like database architecture, Cloud platform integration, API development and integration into front-end and back-end platforms
  • Promoted to Head of products within 4 months, Worked closely with CEO along with the IT team to improve and integrate new features within the product
  • Pitched product to the executive teams at various fashion apparel giants like Macys, Myntra, Jobong, Raymond, Arvind, Ajio, Clovia etc
  • Closely worked with business development and marketing team in US and UK and helped them with their requirements
  • Worked closely with client IT team to deploy company product to their platform

Computer Vision Developer

Cloudadic Inc (Stegosoc)
08.2016 - 09.2017
  • Worked as senior developer for computer vision and image processing product development
  • Developed tools like Recieptbot mobile app. Its features include Deep OCR and NLP based intelligent receipt text understanding
  • Researched multi object detection tracking in the wild scenarios
  • Built and modified c++ based open source image processing library for integration in the android project development
  • Researched and developed Face similarity and recognition tool using Open Source projects

Programmer Analyst Trainee

Cognizant Technology Solutions Pvt Ltd
09.2015 - 08.2016
  • Worked closely with manager to test and analyse product build from client developers using Microsoft Unit tests and .Net
  • Coordinated with Client (Schneider electric) developer team in US and helped them find the bugs in the core energy products
  • Hailed by client manager for the work and effort put in

Education

B-Tech - Electronics And Communication

VIT University
Vellore, TN
05.2015

Skills

  • Retrieval-Augmented Generation (RAG), Large Language Models (LLMs)
  • Natural Language Processing (NLP), Information Retrieval (IR)
  • Deep Learning Frameworks (eg, TensorFlow, PyTorch)
    Programming Languages (eg, Python)
  • 5 year of experience AWS cloud platform
  • Excellent knowledge of modern computer vision and deep learning
  • ChatGPT, LLama, Langchain, Other foundational models
  • Excellent Python / Cand OpenCV programming skills
  • Nvidia Deepstream, Nvidia TAO, CUDA
    MlFlow, Clearml

Projects

Mirrorsize Body Measurement App

  • This is the core product for the company where a person can get their body measurement by just two images using smartphone
  • Lead a team of interns and research associates for designing and developing a complete end to end pipeline
  • Heavily used open source deep learning framework like Tensorflow, Pytorch etc for fine tuning deep learning model for object detection, classification, segmentation, 3D pose estimation
  • Developed and designed 3D mesh processing pipeline for creating 3D human body model on run-time
  • Lead team of Front-end and Back-end engineers to successfully deploy the pipeline on the production

Receipt Bot

  • The product is aimed to scan paper receipt using complex pipeline involving computer vision, Deep learning and NLP with smartphone
  • The receipt image is pre-processed with classic image processing algorithms
  • Deep learning based Text detection and Text recognition is involved for recognising the text
  • The pipeline is followed by NLP to extract relevant text like vendor name, date-time, total amount etc

Face recognition

  • A face recognition system for login and authorisation for web and mobile application
  • Worked extensively on open source facial recognition system to create end 2 end pipeline

Patent

Inventor of "BODY MEASUREMENT SYSTEM" for the Mirrorsize US Inc along with IIT Delhi professor Sudipto Mukharjee. Patent Application Number : 201811047491 dated 14-Dec-2018

Timeline

AI Developer

Freelance
12.2019 - Current

Head of Products

Mirrorsize Us Inc
07.2018 - 10.2019

Computer Vision Developer

Cloudadic Inc (Stegosoc)
08.2016 - 09.2017

Programmer Analyst Trainee

Cognizant Technology Solutions Pvt Ltd
09.2015 - 08.2016

B-Tech - Electronics And Communication

VIT University

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