Vijayakumar Panchanathan

AI Architect with over 15 years of experience in software engineering and mobile application development, specializing in Generative AI and LLM systems. Proven track record of architecting and delivering production-grade GenAI solutions including RAG pipelines, multi-agent workflows, and LLM-powered APIs using LangChain, LangGraph, and LangSmith. Strong expertise in Python, FastAPI, vector databases (Pinecone, Chroma), prompt engineering, MLOps, and cloud platforms (AWS, Azure).

Experienced in optimizing systems for latency, cost, observability, and enterprise security while integrating AI capabilities into mobile and backend ecosystems.

Gen AI Architect II at Safexpress (2025-03 – Present)

• Design and implement LLM workflows such as RAG and multi-agent pipelines using frameworks like LangGraph and LangChain.
• Build and expose LLM-powered APIs for inference, tool usage, and vector search connected to document ingestion pipelines.
• Develop data ingestion, chunking, embedding generation, and manage vector databases (e.g., Pinecone) for semantic search.
• Optimize systems for low latency and cost efficiency using caching, batching, and streaming; integrate observability via LangSmith and LangFuse.
• Implement agent orchestration, memory systems, prompt engineering, and enterprise-grade security and monitoring.

Lead Developer at Covalense Digital (2022-03 – 2024-07)

• Led design and delivery of enterprise-scale GenAI solutions implementing RAG and multi-agent architectures using LangChain and LangGraph.
• Architected and deployed scalable LLM platforms with APIs, vector search, and data pipelines for large-scale document processing and semantic retrieval.
• Drove performance optimization and cost efficiency using observability tools such as LangSmith, LangFuse, and Arize.
• Ensured secure, compliant AI systems with robust agent orchestration, memory management, and prompt engineering practices.

Senior Engineer at NTT Data (2021-05 – 2022-01)

• Designed, developed, and trained machine learning models to solve business problems and improve product performance.
• Collected, cleaned, and preprocessed large datasets to ensure high-quality input for model training and evaluation.
• Deployed, monitored, and optimized ML models in production for scalability, accuracy, and reliability.

Senior Engineer at Noon (2020-03 – 2021-05)

• Conceptualized, designed, developed, and deployed preloaded Android applications.
• Integrated Google Play Services and Google Maps API v2; delivered multiple Android apps end-to-end including development and testing.

Software Engineer at Robert Bosch Engineering and Business Solutions (2017-08 – 2019-12)

• Contributed to full mobile app development lifecycle including planning, requirements gathering, development, testing, and Play Store launch.
• Published and maintained application updates on the Google Play Store focusing on user experience and feature integration.

Mobile Developer at A Infotech Solutions (2013-07 – 2016-08)

• Analyzed UI requirements and collaborated with clients to build mobile Health & Fitness applications.
• Developed Android apps using Java, MVVM, and REST APIs; performed bug fixes and performance optimizations.

Junior Android Developer at MindBridges Solutions (2010-12 – 2013-06)

• Designed and developed mobile applications using Kotlin and Java; handled API integration and Room database implementation.
• Managed Git versioning and Play Store listings; optimized app performance for better user experience.

MCA in Computers – Bharathidasan University, Trichy (2010)

B.C.A. in Computer Applications (General) – Bharathidasan University, Trichy (2008)

Class XII – Tamil Nadu, Tamil (2005)

Class X – Tamil Nadu, Tamil (2002)