I’m pursuing AI/ML roles that help me deepen my practical experience, building on my solid foundation in full-stack web development to deliver real, scalable solutions.
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@sujanesh_jasti
AI/ML engineer and senior software engineer building production-ready LLM applications and systems.
I’m pursuing AI/ML roles that help me deepen my practical experience, building on my solid foundation in full-stack web development to deliver real, scalable solutions.
I am an AI and Machine Learning Engineer with a decade of software engineering experience across fintech, healthcare, broadcasting, and geospatial domains. I focus on delivering production-ready LLM applications, RAG pipelines, and automation systems that combine strong engineering with AI innovation.
At my current role I developed and deployed recommendation engines with Hugging Face and LangChain, fine-tuned LLM support chatbots on 50K+ tickets, and integrated GCP Vertex AI and Firebase to improve personalization and conversions. I have a track record of improving key metrics — for example, boosting engagement by 28% and reducing response time by 35%.
Previously I contributed to ML-based fraud detection, prototyped NLP summarization with OpenAI and LangChain, built REST APIs with FastAPI, and practiced MLOps with MLflow and Datadog. My software background includes full-stack development (React, Angular, Vue), mobile (React Native, Ionic), and geospatial applications using Esri ArcGIS APIs.
I bring a pragmatic, metrics-driven approach to building scalable systems, mentoring teams, and shipping reliable products. I’m passionate about translating AI research into robust, maintainable solutions that drive measurable business value.
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Work history, roles, and key accomplishments
Mattress Frim
Sep 2024 - Present (1 year 2 months)
Developed and deployed RAG-based recommendation and support systems using Hugging Face, LangChain, and Vertex AI, boosting user engagement 28% and reducing support response time 35%.
Contributed to ML-based fraud detection improving accuracy 25% and reducing false positives 30%; prototyped NLP summarization using OpenAI and LangChain to accelerate compliance workflows 3x.
Led frontend modernization including Angular upgrade (v10→v17) increasing dev speed 30%, integrated Jest/Cypress for test stability, and built React Native BLE/GPS indoor tracking app.
Built advanced geospatial web apps integrating ArcGIS APIs with Vue and React, created high-performance reusable components, and implemented REST/GraphQL integrations for spatial analytics.
Built hybrid mobile apps with React Native and Ionic, developed APIs and microservices with Node.js/Express/Next.js, and deployed scalable backends using Firebase, GCP, and MongoDB.
Contributed to Xfinity Smart TV OS with a lightweight TypeScript UI, optimizing firmware UIs for memory efficiency and faster load times.
Catholic Health Initiatives
Sep 2014 - Jul 2016 (1 year 10 months)
Gained foundational frontend skills building pixel-perfect UIs and REST integrations using Angular and JavaScript in a healthcare environment.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor of Science in Computer Science with coursework focused on core CS fundamentals and application programming.
Software and tools used professionally
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