I am an AI Product Engineer with a passion for learning fintech and automating legal and operational workflows using on-premise large language models, saving clients over $120K annually. I have shipped AI and voice-based products including automated invoice retrieval agents and legal workflow automation suites. My expertise spans full-stack, web, mobile, and AI agents development with a strong focus on privacy and efficiency. I specialize in problem-solving—decoding complex systems, debugging under pressure, linking logic flows, automating with command-line scripting, and applying user psychology to design intuitive products. Experienced with React, React Native, SwiftUI, MERN, Python, AWS, Firebase, and AI/ML tools such as MCP Server, OpenAI, LangChain, Pinecone, and TensorFlow Lite, I strive to deliver impactful and user-friendly AI-driven solutions.

Omkumar Vijaysinh Solanki

I am an AI Product Engineer with a passion for learning fintech and automating legal and operational workflows using on-premise large language models, saving clients over $120K annually. I have shipped AI and voice-based products including automated invoice retrieval agents and legal workflow automation suites. My expertise spans full-stack, web, mobile, and AI agents development with a strong focus on privacy and efficiency. I specialize in problem-solving—decoding complex systems, debugging under pressure, linking logic flows, automating with command-line scripting, and applying user psychology to design intuitive products. Experienced with React, React Native, SwiftUI, MERN, Python, AWS, Firebase, and AI/ML tools such as MCP Server, OpenAI, LangChain, Pinecone, and TensorFlow Lite, I strive to deliver impactful and user-friendly AI-driven solutions.

Available to hire

I am an AI Product Engineer with a passion for learning fintech and automating legal and operational workflows using on-premise large language models, saving clients over $120K annually. I have shipped AI and voice-based products including automated invoice retrieval agents and legal workflow automation suites. My expertise spans full-stack, web, mobile, and AI agents development with a strong focus on privacy and efficiency.

I specialize in problem-solving—decoding complex systems, debugging under pressure, linking logic flows, automating with command-line scripting, and applying user psychology to design intuitive products. Experienced with React, React Native, SwiftUI, MERN, Python, AWS, Firebase, and AI/ML tools such as MCP Server, OpenAI, LangChain, Pinecone, and TensorFlow Lite, I strive to deliver impactful and user-friendly AI-driven solutions.

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Experience Level

Expert
Expert
Expert
Intermediate
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Language

English
Fluent
Hindi
Fluent
Gujarati
Fluent

Work Experience

AI Product Engineer at HSD
August 20, 2023 - Present
AI Product Engineer I design and build AI-powered products from idea to deployment. My work combines machine learning, software engineering, and product thinking to solve real business problems. I scope user pain points, design scalable architectures, and implement AI features that deliver measurable value. I’ve built: Lawline AI – a local legal assistant that generates case timelines, extracts court dates, and drafts client updates. Transit Lost & Found AI – a real-time system using Vision + NLP similarity models to match lost-item descriptions with station-uploaded images (90%+ accuracy). Donor Manager – a donation system with smart donor suggestions, real-time data binding, and multi-admin approval for secure transaction deletion. My role spans: Product Scoping – identifying high-value automation opportunities. AI System Design – building pipelines with RAG, embeddings, and local LLMs. Engineering – developing full-stack apps (TypeScript/Node, React, SwiftUI, Angular). Deployment & Scaling – containerized environments, on-prem installations, and CI/CD workflows.
Founder at Lawline
July 1, 2025 - Present
www.lawline.tech || www.lawline.tech/Omkumar-portfolio Lawline.tech is an AI-powered legal productivity suite that runs fully on-premises, designed to save lawyers time while protecting client confidentiality. It generates case timelines, extracts court dates and deadlines, drafts client update emails, summarizes lengthy documents into briefs, and automates follow-up reminders. By reducing repetitive administrative work, Lawline helps firms save over 15 hours per case and cut costs by up to $200K per year, all while ensuring complete data privacy through local vector databases and LLMs.

Education

Software Development And Network Engineering at Sheridan College
January 11, 2030 - August 29, 2025
Software Development And Network Engineering at Sheridan College
January 11, 2030 - August 30, 2025

Qualifications

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Industry Experience

Software & Internet, Financial Services, Transportation & Logistics, Non-Profit Organization, Government