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I am a results-driven Full Stack AI Engineer with 5+ years of experience building scalable web applications and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI, with a strong footing in Python, FastAPI, React, and cloud infrastructure to deliver reliable, user-friendly AI solutions. I thrive on turning complex data problems into practical software that users love to engage with. I’m passionate about contributing to data-driven products and solving real-world problems with AI. I enjoy collaborating with cross-functional teams to shape architecture that scales with demand while maintaining a strong focus on UX and responsible AI practices.…I am a results-driven Full Stack AI Engineer with 5+ years of experience building scalable web applications and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI, with a strong footing in Python, FastAPI, React, and cloud infrastructure to deliver reliable, user-friendly AI solutions. I thrive on turning complex data problems into practical software that users love to engage with. I’m passionate about contributing to data-driven products and solving real-world problems with AI. I enjoy collaborating with cross-functional teams to shape architecture that scales with demand while maintaining a strong focus on UX and responsible AI practices.

Jeevan Ravi Kumar

AI Engineer, Full Stack Developer, Front-End Developer, +2

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I am a results-driven Full Stack AI Engineer with 5+ years of experience building scalable web applications and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI, with a strong footing in Python, FastAPI, React, and cloud infrastructure to deliver reliable, user-friendly AI solutions. I thrive on turning complex data problems into practical software that users love to engage with. I’m passionate about contributing to data-driven products and solving real-world problems with AI. I enjoy collaborating with cross-functional teams to shape architecture that scales with demand while maintaining a strong focus on UX and responsible AI practices.…I am a results-driven Full Stack AI Engineer with 5+ years of experience building scalable web applications and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI, with a strong footing in Python, FastAPI, React, and cloud infrastructure to deliver reliable, user-friendly AI solutions. I thrive on turning complex data problems into practical software that users love to engage with. I’m passionate about contributing to data-driven products and solving real-world problems with AI. I enjoy collaborating with cross-functional teams to shape architecture that scales with demand while maintaining a strong focus on UX and responsible AI practices.

Available to hire

I am a results-driven Full Stack AI Engineer with 5+ years of experience building scalable web applications and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI, with a strong footing in Python, FastAPI, React, and cloud infrastructure to deliver reliable, user-friendly AI solutions. I thrive on turning complex data problems into practical software that users love to engage with.

I’m passionate about contributing to data-driven products and solving real-world problems with AI. I enjoy collaborating with cross-functional teams to shape architecture that scales with demand while maintaining a strong focus on UX and responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Full Stack Engineer at TVAST IT SOLUTIONS

March 1, 2020 - August 1, 2022

Built end‑to‑end enterprise web apps and admin dashboards (Vue.js/Vuex), integrated charting libraries, and data dashboards for multiple clients. Implemented RESTful APIs with Axios, OAuth‑based authentication, and robust data pipelines. Led multi‑client projects including Acru Finserve (fintech micro‑investing), Bangladesh government initiatives, and HR onboarding workflows for African enterprises. Designed reusable components, scalable prompts, and AI‑enabled workflows; implemented CI/CD using Git, test automation, and performance optimizations.

Geospatial AI Engineer at Geospatial Center of the CUNY CREST Institute

March 1, 2025 - May 1, 2025

Applied ML to satellite imagery for environmental monitoring and disaster response. Built data pipelines to ingest Sentinel‑1/2 data, engineered 100+ features (spectral indices, textures, spatial statistics), and generated interpretable maps and reports for policymakers using Python, scikit‑learn, NumPy, Pandas, and OpenCV. Integrated GIS tools (QGIS, ArcGIS) and Sentinel data APIs to support decision making.

Frontend Software Developer at Vocadian AI

October 1, 2020 - March 1, 2025

Developed cross‑platform frontend for a Harvard‑MIT‑founded health tech startup’s voice‑based fatigue detection platform. Built mobile apps with React Native, designed onboarding flows, captured 120‑second assessments, and uploaded results to AWS S3. Implemented real‑time engagement dashboards and integrated voice AI prediction APIs into the UI.

AI Engineer - Software Engineer at Augmented AI Inc.

May 1, 2025 - Present

Led the development of a B2B AI‑powered marketing automation platform that captures leads at events and generates personalized outreach at scale. Architected data models and pipelines, integrated Azure OpenAI and LangChain, built backend services in Python with Postgres and AWS, and delivered frontend dashboards with real‑time analytics, along with robust authentication and error handling.

Full Stack AI Engineer at Augmented AI Inc.

May 1, 2025 - Present

Led the end-to-end development of a B2B marketing automation platform that captures leads from trade shows and campaigns, and uses AI to generate personalized outreach at scale. Built a lead enrichment pipeline integrating Apollo.io data with historical events and web behavior to create rich, event-driven prospect profiles. Implemented multi-stage campaign workflows with configurable delays, triggers, and email sequencing, and integrated with Mailgun for delivery tracking. Delivered scalable frontend (React/TypeScript) and backend (Node.js, Express) components, optimized LLM prompts with MCP-based contextual boundaries, and established RAG pipelines feeding client-specific knowledge bases. Deployed production infrastructure on AWS with Lambda, S3, and RDS, enabling high-volume email processing (10K+ per run) and real-time analytics.

Geospatial AI Engineer at Geospatial Center, The CUNY CREST Institute

March 1, 2025 - May 31, 2025

Applied machine learning to satellite imagery for flood damage assessment, land-use change detection, and disaster-response support. Built automated data pipelines to acquire Sentinel-1/2 imagery, engineered 100+ features (spectral indices, textures, and spatial statistics), and generated interpretable maps and reports for policymakers and emergency responders. Developed sentiment-analysis dashboards from public-opinion data and integrated GIS outputs with ArcGIS/QGIS for decision support during emergencies.