I'm Jeevan Ravikumar, an AI engineer with 5+ years of experience building scalable web apps and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI. I enjoy delivering reliable, user-friendly AI solutions and collaborating with cross-functional teams to solve complex, real-world problems. I thrive on translating data and AI insights into end-user value, leveraging Python, FastAPI, React, and cloud services to deliver impact at scale, while maintaining a strong bias toward reliability, maintainability, and thoughtful UX.

Jeevan Ravikumar

I'm Jeevan Ravikumar, an AI engineer with 5+ years of experience building scalable web apps and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI. I enjoy delivering reliable, user-friendly AI solutions and collaborating with cross-functional teams to solve complex, real-world problems. I thrive on translating data and AI insights into end-user value, leveraging Python, FastAPI, React, and cloud services to deliver impact at scale, while maintaining a strong bias toward reliability, maintainability, and thoughtful UX.

Available to hire

I’m Jeevan Ravikumar, an AI engineer with 5+ years of experience building scalable web apps and production-grade LLM systems. I specialize in LLM orchestration, RAG pipelines, and prompt engineering using LangGraph and Azure OpenAI. I enjoy delivering reliable, user-friendly AI solutions and collaborating with cross-functional teams to solve complex, real-world problems.

I thrive on translating data and AI insights into end-user value, leveraging Python, FastAPI, React, and cloud services to deliver impact at scale, while maintaining a strong bias toward reliability, maintainability, and thoughtful UX.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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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.
AI Engineer at Augmented AI Inc.
May 1, 2025 - Present
Lead B2B marketing automation platform development; built lead enrichment pipeline; implemented MCP-based context boundaries; built scalable React/TypeScript dashboard; integrated Node.js APIs; reduced LLM costs by 60%; produced production SaaS on AWS Lambda with SQS; enabled real-time campaign tracking and multi-tenant governance.
Frontend Software Developer at Vocadian AI
October 1, 2024 - March 1, 2025
Built a cross-platform mobile app (React Native) with voice-recording workflows; developed a Next.js/TypeScript management dashboard; implemented real-time engagement analytics; integrated AWS S3 for offline-first reliability and data syncing.
Full-Stack Engineer at TVAST IT Solutions
March 1, 2020 - August 1, 2022
Developed enterprise web applications including analytics dashboards, admin consoles, and automated verification platforms. Built interactive dashboards with Vue.js / Vuex and charting libraries; implemented ICP rules and lead data integration; created scalable UI with React/TypeScript and Material UI; designed robust RESTful APIs.
Full-Stack Engineer at Ontrac Technologies Limited (Nigeria)
March 1, 2020 - August 1, 2022
HR-tech SaaS platform for employee background verification and onboarding workflows across Africa; streamlined pre-employment screening, identity checks, credential verification, and milestone tracking; built admin dashboards and integrated with RESTful APIs.
Geospatial AI Engineer at BCC Geospatial Center, CUNY CREST Institute
March 1, 2025 - May 31, 2025
Applied ML to satellite imagery for flood damage assessment, land-use change detection, and emergency management decision support. Built CNN-based image classifiers and traditional ML models; automated data pipelines to acquire Sentinel-1/2 imagery; engineered 100+ features from multispectral data; generated GIS-ready maps and reports; implemented exploratory spatial analysis with clustering and visualization for policymakers.
Full Stack Developer at Contract Technologies Limited
March 1, 2020 - August 31, 2022
HR-tech SaaS platform for employee background verification and onboarding across Africa. Streamlined pre-employment screening with identity verification and credential checks; implemented multi-tenant onboarding flows, dynamic forms, and onboarding progress tracking; built frontend with React/Redux and Material-UI; exposed REST APIs and managed deployments on AWS; collaborated across teams to ship scalable verification workflows.

Education

MS in Data Science at University of Massachusetts Dartmouth
September 1, 2022 - August 1, 2024
B.E. in Electronics and Communication at Visvesvaraya Technological University (VTU)
August 1, 2016 - June 1, 2020
MS in Data Science at University of Massachusetts Dartmouth
September 1, 2022 - August 31, 2024
B.E. in Electronics & Communications at Visvesvaraya Technological University (VTU), Bengaluru, India
August 1, 2016 - June 1, 2020
Master of Science in Data Science at University of Massachusetts Dartmouth
September 1, 2022 - August 1, 2024
Bachelor of Engineering in Electronics and Communication at Visvesvaraya Technological University (VTU), Bengaluru, India
August 1, 2016 - June 1, 2020
Master of Science in Data Science at University of Massachusetts Dartmouth
September 1, 2022 - August 31, 2024
Bachelor of Engineering in Electronics and Communication at Visvesvaraya Technological University (VTU)
August 1, 2016 - June 30, 2020

Qualifications

Google Advanced Data Analytics Professional Certificate
March 1, 2024 - January 8, 2026
DP-900: Microsoft Certified: Azure Data Fundamentals
April 1, 2024 - January 8, 2026
Google Advanced Data Analytics Professional Certificate
March 1, 2024 - January 19, 2026
DP-900: Microsoft Certified: Azure Data Fundamentals
April 1, 2024 - January 19, 2026
Google Advanced Data Analytics Professional Certificate
March 1, 2024 - February 12, 2026
DP-900: Microsoft Certified: Azure Data Fundamentals
April 1, 2024 - February 12, 2026
Google Advanced Data Analytics Professional Certification
March 1, 2024 - February 12, 2026
Microsoft Certified: Azure Data Fundamentals
April 1, 2024 - February 12, 2026

Industry Experience

Software & Internet, Healthcare, Government, Media & Entertainment, Professional Services, Financial Services, Education, Other