Full-stack AI engineer with 5+ years of combined experience in software development, automation, and AI/ML systems. I specialize in building production-ready TypeScript, Python, and cloud-based applications, with hands-on experience in LLM integrations, RAG pipelines, workflow automation, CI/CD, GitHub Actions, secure deployments, and evaluation-driven AI systems. I have built and deployed full-stack platforms using NestJS, Next.js, React Native, PostgreSQL, MongoDB, Supabase, pgvector, AWS, Docker, and LangChain. My recent work includes AI-powered health assistants, RAG evaluation platforms, social graph systems, automated moderation workflows, secure release pipelines, and internal automation tools that reduced manual work by up to 70%. I’m especially interested in building reliable AI agents that help engineering teams automate coding, testing, documentation, review, and release workflows while maintaining strong permission controls, auditability, and human approval where needed. I’m comfortable working independently in contract environments, collaborating with engineers, translating requirements into prototypes, and iterating quickly toward production-quality systems.

Deva Sai Kumar Bheesetti

Full-stack AI engineer with 5+ years of combined experience in software development, automation, and AI/ML systems. I specialize in building production-ready TypeScript, Python, and cloud-based applications, with hands-on experience in LLM integrations, RAG pipelines, workflow automation, CI/CD, GitHub Actions, secure deployments, and evaluation-driven AI systems. I have built and deployed full-stack platforms using NestJS, Next.js, React Native, PostgreSQL, MongoDB, Supabase, pgvector, AWS, Docker, and LangChain. My recent work includes AI-powered health assistants, RAG evaluation platforms, social graph systems, automated moderation workflows, secure release pipelines, and internal automation tools that reduced manual work by up to 70%. I’m especially interested in building reliable AI agents that help engineering teams automate coding, testing, documentation, review, and release workflows while maintaining strong permission controls, auditability, and human approval where needed. I’m comfortable working independently in contract environments, collaborating with engineers, translating requirements into prototypes, and iterating quickly toward production-quality systems.

Available to hire

Full-stack AI engineer with 5+ years of combined experience in software development, automation, and AI/ML systems. I specialize in building production-ready TypeScript, Python, and cloud-based applications, with hands-on experience in LLM integrations, RAG pipelines, workflow automation, CI/CD, GitHub Actions, secure deployments, and evaluation-driven AI systems.

I have built and deployed full-stack platforms using NestJS, Next.js, React Native, PostgreSQL, MongoDB, Supabase, pgvector, AWS, Docker, and LangChain. My recent work includes AI-powered health assistants, RAG evaluation platforms, social graph systems, automated moderation workflows, secure release pipelines, and internal automation tools that reduced manual work by up to 70%.

I’m especially interested in building reliable AI agents that help engineering teams automate coding, testing, documentation, review, and release workflows while maintaining strong permission controls, auditability, and human approval where needed. I’m comfortable working independently in contract environments, collaborating with engineers, translating requirements into prototypes, and iterating quickly toward production-quality systems.

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Experience Level

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Work Experience

Full-Stack Software Engineer at OurFreedom.AI
January 1, 2025 - Present
Owned backend APIs, mobile screens, deployment support, and release workflows across a NestJS, TypeScript, MongoDB, React Native, and AWS stack. Integrated AI-assisted workflows for moderation, post generation, and letter generation with secure APIs, validation, feature gating, and production deployment processes. Designed a privacy-aware social graph for follow, block, private profile, and follow request flows using REST APIs, dependency-injected services, cursor pagination, and MongoDB aggregation. Reduced profile/social graph load time by 60% via optimized aggregation pipelines, targeted projections, and joined response shapes. Standardized dev/UAT/production deployments with Docker, AWS ECS, GitHub Actions, Keybase-managed environment files, and structured service logging.
Graduate Assistant, Software Development and Data Automation at University of Massachusetts Lowell, Manning School of Business
May 1, 2024 - August 1, 2025
Automated reporting, grading, advising, and event operations using Python, JavaScript, Google Apps Script, Docker, Selenium, Tableau, and LLM-based data workflows, reducing manual workload by 70%. Built AI-assisted data workflows including a GPT-based advising assistant, BERT-based modeling support, alumni data extraction improvements, and RealESRGAN image enhancement for event operations.
Graduate Research Assistant, AI and Healthcare at University of Massachusetts Lowell, Department of Computer Science
January 1, 2024 - August 1, 2025
Built an NLP pipeline over 2,636 de-identified clinical notes to predict 15 Social Determinants of Health categories using PyTorch, Hugging Face, Clinical Longformer, DeepSeek-R1, and LLaMA 3.2. Evaluated multi-label ordinal classification and regression approaches with CORN heads, hybrid CEM-ORD+CE loss, active learning, and clinician annotation checks, reaching 92.6% within-one ordinal accuracy. Implemented explainability workflows using Captum Integrated Gradients and LIME to inspect informative tokens and support model interpretability for healthcare NLP tasks.
Senior Software Engineer, Module Lead at Infosys Ltd.
August 1, 2022 - August 1, 2023
Owned the Publish Module for Verizon’s offer management platform, supporting cross-team offer creation, validation, migration, and production operations for enterprise marketing workflows. Built REST API integrations between a ReactJS front end and Pega Decisioning Hub, with Oracle SQL data synchronization, Postman testing, and Kibana logging for operational visibility. Improved team throughput by 30% through rule-based automation, scheduler-driven workflows, reusable components, and mentorship for a 4-member cross-functional engineering team.
Software Engineer, Verizon at Infosys Ltd.
December 1, 2020 - August 1, 2022
Owned the Publish Module for Verizon’s offer management platform, supporting cross-team offer creation, validation, migration, and production operations for enterprise marketing workflows. Built REST API integrations between a ReactJS front end and Pega Decisioning Hub, with Oracle SQL data synchronization, Postman testing, and Kibana logging for operational visibility. Improved team throughput by 30% through rule-based automation, scheduler-driven workflows, reusable components, and mentorship for a 4-member cross-functional engineering team.

Education

Master of Science in Computer Science at University of Massachusetts Lowell
August 1, 2023 - August 1, 2025
Bachelor of Technology in Electronics and Communication Engineering at KL University
January 1, 2016 - January 1, 2020

Qualifications

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Industry Experience

Software & Internet, Professional Services, Healthcare, Education