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Senior AI/ML Engineer with 5+ years of experience architecting enterprise-grade artificial intelligence systems that automate complex business workflows and deliver measurable ROI. Expertise in multi-agentic systems, real-time voice AI pipelines, and LLM/AgentOps/LLMOps architectures using LangGraph, scalable vector databases, and cloud-native infrastructure. Proven track record of building production-ready, cost-efficient AI platforms, including deployments that reduced operational costs by 40% and decreased end-to-end inference latency by over 80%. Experienced across MLOps/LLMOps, real-time streaming, retrieval strategies (RAG/CAG/CRAG/GraphRAG), and observability for reliable AI operations.…Senior AI/ML Engineer with 5+ years of experience architecting enterprise-grade artificial intelligence systems that automate complex business workflows and deliver measurable ROI. Expertise in multi-agentic systems, real-time voice AI pipelines, and LLM/AgentOps/LLMOps architectures using LangGraph, scalable vector databases, and cloud-native infrastructure. Proven track record of building production-ready, cost-efficient AI platforms, including deployments that reduced operational costs by 40% and decreased end-to-end inference latency by over 80%. Experienced across MLOps/LLMOps, real-time streaming, retrieval strategies (RAG/CAG/CRAG/GraphRAG), and observability for reliable AI operations.

Mihisara Nithadya Perera

AI Engineer, Data Scientist, Software Engineer, +2

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Senior AI/ML Engineer with 5+ years of experience architecting enterprise-grade artificial intelligence systems that automate complex business workflows and deliver measurable ROI. Expertise in multi-agentic systems, real-time voice AI pipelines, and LLM/AgentOps/LLMOps architectures using LangGraph, scalable vector databases, and cloud-native infrastructure. Proven track record of building production-ready, cost-efficient AI platforms, including deployments that reduced operational costs by 40% and decreased end-to-end inference latency by over 80%. Experienced across MLOps/LLMOps, real-time streaming, retrieval strategies (RAG/CAG/CRAG/GraphRAG), and observability for reliable AI operations.…Senior AI/ML Engineer with 5+ years of experience architecting enterprise-grade artificial intelligence systems that automate complex business workflows and deliver measurable ROI. Expertise in multi-agentic systems, real-time voice AI pipelines, and LLM/AgentOps/LLMOps architectures using LangGraph, scalable vector databases, and cloud-native infrastructure. Proven track record of building production-ready, cost-efficient AI platforms, including deployments that reduced operational costs by 40% and decreased end-to-end inference latency by over 80%. Experienced across MLOps/LLMOps, real-time streaming, retrieval strategies (RAG/CAG/CRAG/GraphRAG), and observability for reliable AI operations.

Available to hire

Senior AI/ML Engineer with 5+ years of experience architecting enterprise-grade artificial intelligence systems that automate complex business workflows and deliver measurable ROI. Expertise in multi-agentic systems, real-time voice AI pipelines, and LLM/AgentOps/LLMOps architectures using LangGraph, scalable vector databases, and cloud-native infrastructure.

Proven track record of building production-ready, cost-efficient AI platforms, including deployments that reduced operational costs by 40% and decreased end-to-end inference latency by over 80%. Experienced across MLOps/LLMOps, real-time streaming, retrieval strategies (RAG/CAG/CRAG/GraphRAG), and observability for reliable AI operations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Work Experience

Senior AI/ML Engineer (Promoted from AI/ML Engineer) at Astrolit Solutions

January 1, 2025 - Present

Architected and deployed enterprise-grade AI platforms using multi-agent swarms (LangGraph) and LLM reasoning to reduce average handling times for complex business workflows. Developed real-time voice AI pipelines integrating LiveKit, STT, and TTS with optimized token streaming to achieve sub-second end-to-end latency. Implemented robust MLOps pipelines using MLflow, Docker, and Kubernetes on AWS ECS Fargate, reducing model deployment lifecycles by 80%. Led integration of retrieval strategies (RAG/CAG/CRAG) with VectorDB and Neo4j to improve contextual accuracy. Designed 4-tier memory architectures using Redis and Supabase (pgvector) for contextual and long-term memory management in conversational agents.

Senior AI/ML Engineer at Astrolit Solutions

January 1, 2025 - Present

Architected and deployed enterprise AI platforms using multi-agent swarms (LangGraph) and LLM reasoning to reduce handling times for complex business workflows. Built real-time voice AI pipelines integrating LiveKit with STT/TTS and optimized token streaming for sub-second end-to-end latency. Implemented MLOps pipelines with MLflow, Docker, and Kubernetes on AWS ECS Fargate, reducing model deployment lifecycles by 80%. Led retrieval integration using RAG/CAG/CRAG with VectorDB and Neo4j and designed multi-tier memory architectures using Redis and Supabase (pgvector) for contextual and long-term memory in conversational agents.

Software Engineer (Java & AI/ML) at Virtusa

May 1, 2022 - December 1, 2024

Developed enterprise-grade microservices and AI/ML integrations using Java, Python, and FastAPI for large-scale data processing in finance and telecom. Deployed scalable AI/ML solutions on AWS using Docker and CI/CD pipelines to improve model performance and deployment automation. Designed predictive modeling systems to ensure production-level reliability and improve operational efficiency for cross-functional agile teams.

Freelance AI/ML Consultant & Engineer at Upwork

January 1, 2022 - Present

Architected and delivered AI solutions for international clients across fintech, healthcare, e-commerce, and travel, providing AI product management and strategic consultation to drive measurable ROI. Engineered enterprise RAG systems, multi-agentic (AgentOps) workflows, and real-time voice pipelines using local LLMs and specialized model fine-tuning. Designed and deployed robust MLOps and LLMOps pipelines for computer vision models and predictive analytics, translating requirements into production-ready AI architectures.

AI/ML Consultant & Engineer at Upwork

January 1, 2022 - Present

Delivered AI solutions for international clients across fintech, healthcare, e-commerce, and travel, providing AI product management and strategic consultation to drive measurable ROI. Engineered enterprise RAG systems, multi-agent (AgentOps) workflows, and real-time voice pipelines using local LLMs and specialized fine-tuning. Designed and deployed MLOps/LLMOps data pipelines for computer vision and predictive analytics, translating business requirements into production-focused AI architectures.

Intern – CNC Programmer & Product Designer at Richard Pieris & Company PLC

January 1, 2021 - January 1, 2022

Engineered 15+ interior design concepts and furniture prototypes using SolidWorks CAD and transitioned models into large-scale production. Programmed and operated advanced Homag CNC systems using WoodWop software, optimizing workflows to reduce cycle time by 15% and minimize material waste. Collaborated with production teams to improve machining precision and streamline the manufacturing lifecycle for commercial furniture lines.

Education

MSc in Big Data Analytics at Robert Gordon University (Reading)

January 1, 2025 - July 25, 2026

HD in Computing and Software Engineering at Cardiff Metropolitan University

January 1, 2022 - May 1, 2025

Professional Diploma in Digital Marketing at ICBT Campus

January 1, 2022 - July 1, 2022

MSc in Big Data Analytics at Robert Gordon University

May 1, 2025 - January 1, 2026

HD in Comput ing and Software Engineering at Cardiff Metropolitan University

May 1, 2022 - May 1, 2025

Professional Diploma in Digital Marketing at ICBT Campus

January 1, 2022 - July 1, 2022