Sriharsha Velicheti — Product Manager

I am a Generative AI Developer at Data Smith AI, focused on designing and deploying production-ready, LLM-driven systems that combine agentic architectures, RAG pipelines and cloud-native engineering. Technical Expertise AI & GenAI LLMs (GPT-4/5, Gemini, Claude), LangChain, LangGraph, RAG systems, multi-agent orchestration, multimodal pipelines Backend & App Development Python, FastAPI, TypeScript, React.js, Streamlit Cloud & DevOps Azure (App Services, Service Bus, Azure ML, Blob Storage, Azure SQL, Azure Monitor), GCP(Cloud Run & CR Jobs, Services like (gmail, Docker, CI/CD (Azure DevOps), Kubernetes (architecture & orchestration) Databases & Retrieval MongoDB, Redis, Qdrant, PostgreSQL Core Strengths Prompt engineering, agent system design, API engineering, cloud-native deployment, scalable AI platform architecture My work sits at the intersection of Generative AI, multi-agent systems and scalable backend platforms, with strong hands-on experience building containerized services on Azure and GCP, supported by automated CI/CD and modern deployment practices. At Data Smith AI, I built TenderGenie, a generative-AI tender automation platform that analyzes government and enterprise tenders, extracts structured insights, and generates contextual bid responses using vector retrieval, orchestration pipelines and automated summarization workflows. I also developed a Resume Filtering System and a PDF Data Sheet Processing platform, automating document parsing, structured extraction and intelligent querying using LLMs, LangChain and a Mongo-based query engine. Previously, during my Siemens Research Internship, I developed a Multimodal RAG-based Healthcare Assistant that integrates textual, image and structured data for context-aware medical reasoning. I later engineered a Streamlit + Gemini-powered Healthcare Virtual Assistant providing symptom assessment, lab result interpretation, lifestyle guidance and emergency-aware workflows. I am currently expanding my cloud-native skill set by actively learning Kubernetes architecture and orchestration, and I am building a full AI cloud-native application focused on scalable, resilient GenAI services. Alongside my professional work, I actively strengthen my problem-solving and research skills, having earned multiple HackerRank gold badges, solved 200+ LeetCode problems, and achieved Kaggle discussion bronze medals.

Stackforce AI infers this person is a Generative AI Developer with expertise in cloud-native solutions and multi-agent systems.

Location: Pune, Maharashtra, India

Experience: 3 yrs