Software Engineer @ CloudTern Solutions | Agentic AI | Generative AI | AI Agents | LLMs | MCP | Anthropic Claude Certified | GitHub Certified: Agentic AI Developer | Microsoft Certified AI-103 | Azure | AWS

Hyderabad

Chennai







Bachelor of Technology - BTech, Cse
Pragati University
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Download Tal BossSoftware Engineer @ CloudTern Solutions | Agentic AI | Generative AI | AI Agents | LLMs | MCP | Anthropic Claude Certified | GitHub Certified: Agentic AI Developer | Microsoft Certified AI-103 | Azure | AWS
Generative AI and Agentic AI Engineer | LangChain • LangGraph • RAG • MCP • Azure • AWS I am a Software Engineer dedicated to bridging the gap between robust Cloud Infrastructure and the next generation of AI. At Cloudtern Solutions, I specialize in architecting RAG-based (Retrieval-Augmented Generation) applications that move beyond simple chat—transforming raw data into knowledge-grounded, high-accuracy LLM responses. Worked on AI agents: designing end-to-end LLM workflows and multi-agent systems, optimizing vector search pipelines (using Weaviate, ChromaDB, Pinecone, and Milvus) with hybrid dense and sparse search and re-ranking, and pushing boundaries with MCP (Model Context Protocol) and A2A (Agent-to-Agent) to enable multi-tasking capabilities in intelligent bots. My Technical Foundation: Generative AI: Hands-on implementation of LangChain and LangGraph for complex agentic RAG architectures, with tool calling, prompt engineering, and role-based MCP servers. Vector Intelligence: Deep experience in document ingestion, chunking strategies, embedding optimization, and graph-based retrieval with Neo4j. Evaluation & Safety: RAGAS and LangSmith for evaluating and tracing LLM output, with guardrails against hallucinations and prompt injection, and AI governance practices. Document Intelligence: OCR-based extraction with MinerU, PaddleOCR, and Docling, and self-hosted LLM serving with vLLM on Dockerized RunPod GPU workers. Cloud & DevOps: Azure AI Foundry, Azure OpenAI Service, and Amazon Bedrock. Prior to my AI focus, I completed intensive training in the Revature Azure Cohort, mastering full-stack deployments with AKS, Terraform, and MySQL, and monitoring with GitHub, Prometheus, and Grafana for production-ready scalability. Built: Ansera (agentic RAG search for websites), AEO and GEO scoring tools, PolisIQ (insurance document intelligence), and an AI Resume Tracker. Certified: Microsoft Azure AI Apps and Agents Developer Associate (AI-103), GitHub Agentic AI Developer (GH-600), Oracle Agentic AI Foundations Associate. Open to Generative AI Engineer and Agentic AI Engineer roles in Hyderabad, Bengaluru, Pune, Chennai, and remote. Let's build something intelligent!
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Software Engineer at CloudTern Solutions, Feb 2025 - Present · 1 y 9 mo, Hyderabad, Ansera, Agentic RAG search platform - Architected an agentic RAG search engine with LangChain and LangGraph that turns client websites into conversational interfaces, delivering answers in 3 s instead of multi-click link navigation across 500+ client sites. - Raised top-5 retrieval precision from 72% to 91% with hybrid dense and sparse search and a re-ranking layer, with p95 retrieval latency under 1 s. - Built multi-tenant ingestion pipelines on Weaviate with incremental updates, audio/video transcription and OCR extraction across 3,000+ pages of website content. - Raised RAGAS faithfulness from 90% to 97% with prompt engineering workflows and governance guardrails. - Built an AEO and GEO scoring tool for 500+ client websites, using MCP for tool access and A2A for inter-agent communication. - Automated site onboarding with Webflow and WordPress APIs, replacing 10+ manual steps with one click. MCP servers - Built an authenticated, role-based MCP server giving natural-language access to website analytics for 500+ client sites. - Built Calendar and Calendly MCP tools that handle 100+ bookings per month inside chat. PolisIQ, insurance document intelligence - Built LangGraph agent workflows and MinerU OCR pipelines extracting structured data at 95% field-level accuracy for 1,000+ documents per month. - Deployed Gemma 4 12B with vLLM on Dockerized RunPod GPU workers with dynamic batching and on-demand scaling. Resume Tracker, AI resume search - Built a LangGraph and Neo4j resume search; LLM-generated Cypher queries cut candidate discovery from minutes to 4 s across 4,000+ profiles.
Site Reliability Engineer Intern at Revature, Apr 2024 - Aug 2024 · 5 mos, Chennai, Completed hands-on training in cloud and DevOps through Revature's Azure Cohort, gaining practical skills in full-stack application development with Azure tools like AKS, MySQL, and Terraform. Enhanced expertise in GitHub version control and monitoring using Prometheus and Grafana, managing end-to-end deployments. This experience solidified my foundation in cloud infrastructure and DevOps practices.
Bachelor of Technology - BTech, Cse, Pragati University