Shrikant Kallshetty

Fullstack AI Engineer

Mumbai, India 6+ yrs exp 90 · Outstanding

About

Fullstack AI Engineer with 3+ years of experience building production web applications and AI-powered automation solutions using the MERN stack, Python, Generative AI, RAG, LangChain, LangGraph, Google Vertex AI, and computer vision. Experienced in document processing, semantic search, structured data extraction, rule-based validation, and workflow automation, with a finance background that strengthens data analytics and business-process understanding.

Skills & Expertise (34)

Generative AI Advanced

9.0/10

Years Exp

React.js Advanced

8.5/10

Years Exp

Python Advanced

8.0/10

Years Exp

Git Advanced

8.0/10

Years Exp

JavaScript Advanced

7.5/10

Years Exp

REST APIs Advanced

7.5/10

Years Exp

Node.js Advanced

7.5/10

Years Exp

Typescript Intermediate

7.0/10

Years Exp

AWS Intermediate

7.0/10

Years Exp

MongoDb Intermediate

7.0/10

Years Exp

LangGraph Netlify Vercel Postman GitHub Image Processing PDF OpenCV RoboFlow YOLO Prompt Engineering Google Vertex AI REDUX LangChain RAG HTML5 Semantic Search Vector Databases Mongoose CSS3 Express.js Next.js Tailwind CSS Redux Toolkit

Work Experience

Fullstack Developer

Labelblind Solutions Pvt. Ltd.

Aug 2023 - Present

Developed and maintained full-stack applications using the MERN stack, delivering end-to-end features from requirements gathering through production deployment for 50+ users. Built AI-powered document processing pipelines using Python and Google Vertex AI for PDF/image data extraction and automated form population, reducing manual data-entry effort by 60% and bringing processing time to approximately 13 seconds. Engineered RAG-based and JSON rule-based artwork compliance validation using vector databases and semantic search; validated 100+ artworks and reduced validation cycles from weeks to 3–5 minutes per artwork. Built nutrient-report extraction workflows using Generative AI and structured outputs, processing 200+ reports with approximately 95% extraction accuracy and reducing a repetitive manual task to about 10 seconds. Trained an object detection model using Roboflow datasets and YOLO on 200+ artwork/product images, achieving approximately 85% model accuracy. Improved application performance by approximately 40% through workflow and implementation optimizations, collaborating with cross-functional teams to improve operational efficiency and production delivery.

Frontend / Software Engineering Intern

S7Works LLC

Feb 2023 - Jul 2023

Built React.js and Redux Thunk features for prompt management and remote employee tracking tools, including ChatGPT/Bard prompt workflows.

Frontend / Software Engineering Intern

Constient Global Solutions / NodeShark

Feb 2023 - Jul 2023

Contributed to Logfire.sh with React.js, Next.js, and Redux and worked on blockchain visualization tooling.

Financial Analyst

eClerx Services Limited

Dec 2020 - Dec 2022

Worked in financial services supporting stock-market data and processes for global investment-banking clients, building domain expertise in data analysis, process accuracy, and operational workflows.