Venkatesh P R
Open to work3 years experienceSoftware Engineer
Software Engineer specializing in Generative AI and Agentic systems.
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
27 skillsWork Experience
Software Engineer
ZENSAR TECHNOLOGIES LTD
- Developed a production-grade AI chatbot for Warehouse Management Systems (WMS) using FastAPI, Pydantic validation, and PostgreSQL ORM to support daily inventory queries and warehouse operations.
- Built and optimized RAG pipelines using PGVector, ChromaDB, and Pinecone to enable semantic search over warehouse SOPs and documents, improving response accuracy through RAGAS evaluation and LangSmith monitoring.
- Integrated multiple GenAI and LLM platforms (OpenAI, Gemini, Ollama, HuggingFace, Azure OpenAI, Azure AI Foundry, AWS Bedrock) using LangChain.
- Designed and implemented AI agents using LangChain Tools and LangGraph Orchestrator for tasks such as stock issue resolution and workflow automation ; leveraged Celery and Redis for asynchronous task processing, document ingestion, embeddings, and real-time streaming responses.
- Implemented secure authentication and AI safety controls using JWT, OAuth, auto -refresh tokens, and guardrails to ensure compliant and reliable AI interactions.
- Performed end-to-end testing using Pytest and created LangSmith dashboards to track model performance, latency, and retrieval quality in production.
Junior Software Engineer
ZENSAR TECHNOLOGIES LTD
- Supported end-to-end cloud migration from on-premises infrastructure to OCI, resolving production issues and ensuring system stability during transition phases.
- Maintained and improved CI/CD pipelines using Jenkins and IBM UrbanCode Deploy, enhancing deployment reliability and reducing manual release efforts.
- Automated Linux infrastructure operations using Bash scripting, reducing manual intervention and improving operational efficiency.
- Managed source control and collaboration workflows using GitLab, and supported project tracking and documentation through Jira and Confluence.
- Ensured high application availability through proactive monitoring, incident handling, and performance optimization.
Projects
WMS APO: AI-Powered Chatbot for Warehouse Management System
- Developed a production -grade multi -agent AI system using LangGraph and LangChain to orchestrate specialized agents for stock issue resolution, inventory queries, and SOP-based decision support across Macy’s Warehouse.
- Built a hybrid RAG pipeline integrating PGVector, ChromaDB, and Pinecone with chunking strategies and semantic search to enable accurate retrieval over large-scale SOP documents.
- Built a scalable FastAPI backend with PostgreSQL ORM, Pydantic validation, Celery-based async task processing and Redis for document ingestion, embeddings and real-time streaming responses.
- Integrated OpenAI Models via Azure AI Foundry as the primary LLM provider, with LangSmith dashboards for monitoring latency, model performance in production.
- Implemented secure authentication flows using JWT, OAuth and auto-refresh tokens alongside guardrails for AI safety and compliance across all agent interactions.
- Evaluated and iteratively improved RAG pipeline accuracy using the RAGAS framework, driving measurable improvements in response relevance and retrieval precision.
- Recognized with Zensar’s Quarterly Award H1FY26 for outstanding contributions to the project’s successful delivery and client impact.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Zensar Quarterly Awards, H1FY26
Received the Quarterly Award for H1FY26 for outstanding contribution to the WMS-APO project delivery for Zensar and Macy’s, USA.
About Details
Professional Bio
Software Engineer specializing in Generative AI and Agentic systems, with more than 3.5 years of industry experience in multi-agent orchestration, RAG pipeline design and LLM integration across Azure OpenAI, AWS Bedrock and local models.
Bachelor of Technology in Information and Communication Technology
SASTRA DEEMED UNIVERSITY (2018 - 2022)