[email protected] | linkedin.com/in/knowabhishek | github.com/jainabhishek

AI Solutions Engineer and former startup founder with 10+ years building production systems and 2+ years specializing in LLM applications. Built multiple AI agents, RAG systems, and conversational interfaces using OpenAI API (GPT-4o/o3), Claude, and custom ML models. Scaled technical teams and delivered solutions for Fortune 500 clients (Levi's, Wegmans, Bed Bath & Beyond) and 15,000+ SMB customers. Passionate about partnering with startups to unlock generative AI's potential from ideation to scale.

AI/ML: OpenAI API (GPT-5, GPT-4o, o3), Claude (Sonnet 4.5, Opus 4), Gemini, LangChain, RAG, FAISS, XGBoost, Context Engineering

Languages: Python, TypeScript/JavaScript, SQL

Full-Stack: React/Next.js, Node.js/Express, Streamlit, React Native

Cloud & DevOps: AWS, Azure, Docker, Kubernetes, CI/CD

Frameworks: Anthropic Agent SDK, Model Context Protocol, Prisma, AssemblyAI, Whisper

Development Manager II - AI/ML Solutions Lead | Feb 2020 – Present

E-commerce solutions company serving Fortune 500 brands in retail, hospitality, and B2B

AI Solutions Architecture & Client Delivery

• Built production AI agent (Shipcode) enabling 1,000+ concurrent users to modify projects via natural language, leveraging Claude (Anthropic Agent SDK), Model Context Protocol tools, and event-sourced architecture—reducing project modification time by 60%

• Architected conversational FQL assistant with React frontend and dedicated AI service powered by OpenAI API (GPT-4o, o3), including smart property inference, multi-turn coordination, and automated eval harness for quality control

• Developed multimodal CV solution (Smart Cart Analyzer) using GPT-4o Vision API to audit Instacart carts, processing images to detect missing/unauthorized items with 95% accuracy; added voice UX (speech commands + ElevenLabs TTS) for hands-free operation, reducing audit time by 40%

• Created XGBoost ML classifier predicting high-risk retail batches (7% positive class) with 40+ engineered features and SMOTE balancing; deployed production model reducing unnecessary audits by 30% and saving $200K+ annually

• Built RAG documentation assistant using OpenAI API (GPT-4o-mini), FAISS vector store, and LangChain with semantic chunking and conversation memory—enabling 50+ developers to query internal docs 10x faster

• Engineered full-stack transcription platform (AbhiScript) processing large audio files into speaker-labeled transcripts, summaries, and action items via AssemblyAI + GPT-4.1 API, with JWT auth, rate limiting, and Prisma/SQLite persistence

Engineering Leadership & Client Success

• Led end-to-end mobile development for DXL and Wegmans, coordinating offshore/onshore teams across 3 time zones; modernized CI/CD pipelines migrating all client apps to Firebase App Distribution with automated UI testing and release gating

• Delivered complex multi-tenant project (Bed Bath & Beyond, Buy Buy Baby, Bed Bath Canada) on-time and in-budget with team of 8 developers, bridging React Native and native iOS/Swift and Android/Java codebases

• Partnered with Levi's technical team to increase deliverable velocity from 60-70% to 100%+, led CMS migration to Contentstack, and drove expansion to Canada and India markets

• Architected and delivered solutions for high-profile clients including Fast Retailing brands (Theory, Princess Tam Tam, Comptoir des Cotonniers), Flow Hydration (drove 50%+ revenue increase), and Hudson Yards (The Related Companies)

Key Achievements:

• Solely conceived, architected, and deployed 6+ production AI/ML applications as one-person team, covering modeling, infrastructure, UI, and evaluation frameworks
• Launched first-ever mobile apps for three Fast Retailing brands with cross-continent coordination
• Received multiple internal recognitions and performance bonus for multi-tenant delivery excellence

Co-Founder & CTO | Jun 2015 – Aug 2018

No-code mobile app platform enabling SMBs to create iOS/Android apps in under 10 minutes

• Architected and scaled SaaS platform serving 15,000+ businesses across 120+ countries, becoming highest-rated mobile app platform on Shopify App Store (4.9/5 stars, 500+ reviews)

• Drove 1M+ end users and $10M+ GMV through mobile apps; partnered with Google as first platform to launch Google Instant Apps, demonstrating thought leadership and technical innovation

• Built and launched complementary products including checkout optimization tool (15% revenue lift) and lead generation/automation platform that enabled 5% weekly customer growth

• Hired, mentored, and managed 7 cross-functional teams (developers, designers, QA, technical support); created software architecture docs, owned product roadmap, and ran daily standups as Scrum Master

• Provided white-glove technical customer support and closely monitored user feedback, maintaining 95%+ customer satisfaction while evaluating competitive landscape for strategic feature development

Founding Engineer | Jul 2012 – May 2015

• Led technical team building consumer internet platform connecting users with local businesses; architected full-stack solution using PHP, MySQL, JavaScript, Objective-C (iOS), and Java (Android)

• Owned entire product development lifecycle from ideation through production deployment; successfully launched product in 6 months, acquiring 7,000+ business subscribers

University of Pittsburgh — Pittsburgh, PA
Master of Science in Information Science | Aug 2018 – Dec 2019
Relevant Coursework: Machine Learning, NLP, Computer Vision, Deep Learning (CMU), Data Analytics

Savitribai Phule Pune University — Pune, India
Bachelor of Engineering in Computer Engineering

• Built 6+ production LLM/AI applications integrating OpenAI API, Claude API, and custom ML models, serving 1,000+ concurrent users and processing 100,000+ transactions

• Scaled startup from 0 to 15,000+ customers across 120+ countries as Co-Founder/CTO, achieving highest marketplace rating

• Delivered on-time/on-budget for 10+ Fortune 500 clients with measurable business impact (40-60% efficiency gains)

• Led engineering teams of up to 8 developers while maintaining hands-on coding and architecture responsibilities

• 🤖 AI/ML Engineering: Building production-ready AI systems at scale
• 🏗️ System Architecture: Designing resilient, scalable infrastructures
• 👥 Team Leadership: Mentoring engineers and driving technical excellence
• 📈 Performance Optimization: Boosting delivery velocity and code quality

• 🚀 Built my first company at 23 and made it profitable with 17 developers
• 🏆 Created the highest-rated mobile app platform on Shopify App Store
• 🌍 My apps have been used by businesses in 120+ countries
• 🎯 Increased team delivery velocity from 60-70% to over 100%
• 🧠 Solely conceived and built 5 major AI/ML initiatives as a one-person team
• ⚡ Maintained 99.9% uptime across all production systems
• 📱 Achieved 99% first-time App Store approval rate
• 🎓 Improved ML model accuracy by 3% over state-of-the-art
• 💰 Generated $2M+ in cost savings through automation initiatives
• 🏅 Mentored 25+ developers with 80% promotion rate

💡 "Turning complex problems into elegant solutions, one algorithm at a time"

_{⭐️ From jainabahishek}