![Priyanthan Govindaraj](https://jobicy.com/react/themes/app/images/avatar.jpg) Priyanthan Govindaraj # AI/ML Engineer Actively looking · Member since 21 Jan 2026 [Message](https://jobicy.com/dashboard-page.md) ShareLocationSri LankaDesired salaryUnspecifiedWork preferenceFull TimeExperience levelNot set * [Overview](#overview) * [Portfolio 0](#portfolio) * [Services 0](#services) ## About Professional summaryI am an AI/ML Engineer with over 2+ years of experience building production agentic AI systems and multi-agent orchestration. I specialize in designing and deploying autonomous workflows using advanced frameworks such as LangChain, LangGraph, and MCP to enable complex reasoning, tool-calling, durable execution, and task orchestration. My expertise includes architecting multi-LLM proxy systems capable of intelligent routing and handling over 10,000 daily API calls. Currently, I am developing a knowledge graph-enhanced database agent to facilitate natural language data retrieval. I have a strong foundation in cloud-native deployment, particularly with AWS services, and I am experienced in Retrieval-Augmented Generation (RAG) architectures and production ML systems. I have published more than 60 technical articles on AI system design and implementation, demonstrating my commitment to knowledge sharing and thought leadership. In my current role, I design and deploy generative AI applications, including RAG-based conversational agents for chat, voice, and simulation workflows. I have built enterprise-grade conversational chatbots integrating custom SQL agents and agentic workflows for database access. I also architect scalable evaluation pipelines and multi-LLM proxy servers that optimize API orchestration and reduce rate limit errors significantly. I have developed end-to-end ETL pipelines to automate data integration for AI workflows and implemented multi-modal video analysis pipelines to enrich RAG responses. Additionally, I have deployed AI-powered outreach automation systems that leverage feature engineering from CRM data to enable personalized customer messaging at scale. My projects include building multi-agent research systems coordinating specialized agents with memory and context-aware collaboration, developing database agents with knowledge graphs, and creating production recommendation engines using vector databases. I have hands-on experience with containerized AI applications on AWS ECS, automated CI/CD pipelines, and advanced transformer architectures including Vision Transformers, Llama-2, and GPT-2. I am passionate about pushing the boundaries of AI and machine learning by combining deep technical expertise with practical deployment skills to deliver scalable, reliable, and innovative AI solutions. ## Skills 10 capabilities[AWS S3](https://jobicy.com/talent/aws-s3.md)[CI CD](https://jobicy.com/talent/ci-cd.md)[Docker](https://jobicy.com/talent/docker.md)[Kubernetes](https://jobicy.com/talent/kubernetes.md)[NestJS](https://jobicy.com/talent/nestjs.md)[PostgreSQL](https://jobicy.com/talent/postgresql.md)[Python](https://jobicy.com/talent/python.md)[Redis](https://jobicy.com/talent/redis.md)[SQL](https://jobicy.com/talent/sql.md)[TensorFlow](https://jobicy.com/talent/tensorflow.md) ## Experience Career history ### Machine Learning Engineer · Skillfully Nov 2023 – PresentDesigned and deployed production Generative AI applications including RAG-based conversational agents for chat, voice, and simulation workflows using OpenAI, Gemini, and Anthropic models, serving 10,000+ daily interactions. Built enterprise conversational chatbot with custom SQL agents integrating structured data management with agentic workflows. Architected scalable evaluation pipeline with AWS Lambda and SQS processing 1,000+ transcripts in under 1 minute, implementing monitoring and logging. Engineered enterprise-grade multi-LLM proxy server managing real-time API orchestration with intelligent key pooling and monitoring, reducing rate limit errors by 40%. Developed end-to-end ETL pipeline using Mage framework for automated data integration. Implemented multi-modal video analysis pipeline enriching RAG pipeline with video-derived context. Deployed AI-powered outreach automation system using feature engineering from CRM data. Architected and deployed containerized AI applications on AWS ECS with Application Load Balancer, VPC configuration, and automated CI/CD pipelines achieving zero-downtime. ## Education Learning history ### University of Moratuwa Oct 2018 – July 2023Bachelor of Science in Electrical Engineering (Hons) Specialization in AI, Machine Learning, NLP Deep Learning. Final-year project applied Deep Reinforcement Learning to solve an electrical engineering domain problem, culminating in a published research paper. ### Amazon Web Services July 2024AWS Machine Learning Specialty Certificate This professional hasn’t added portfolio projects yet. This professional hasn’t listed any services yet.