AI Engineer with 1+ years in Generative AI & MLOps
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AI/ML Engineer and Software Engineering undergraduate specializing in AI/ML, Generative AI, and Agentic AI. Experienced in building end-to-end ML pipelines, production grade RAG applications, and enterprise multi agent architectures using Python, LangChain, and LangGraph. Proven capability in implementing MLOps tooling and secure cloud deployments. Seeking an AI/ML Engineering role to apply hands on project experience in a fast moving, innovation driven team.
Cardiff Metropolitan University (UK), ICBT Campus
BSc (Hons) · Software Engineering
August 1, 2024 – June 30, 2027
Devlagom
Associate AI Engineer
April 1, 2026 – Present
India
Eminent Brands
Software Engineering Intern (R&D)
August 1, 2025 – April 1, 2026
India
Self-employed
AI ML Engineer
January 1, 2025 – Present
India
Zuu Crew
Technical Writer (AI/ML)
January 1, 2025 – Present
India
Enterprise Financial Multi-Agent System (FMCG Sector)
April 1, 2026 – June 30, 2026
Co-developing a multi agent financial analytics system associated with Devlagom for Papercube to migrate legacy PowerBI reporting into automated AI workflows for leading Sri Lankan FMCG brands. Built an ETL pipeline to ingest high-volume financial and KPI data into Databricks, leveraging Databricks Genie APIs to power conversational agents for complex Q&A and structured "What, Why and How" report generation. Architected secure backend communication and deployed the entire infrastructure within AWS, ensuring enterprise-grade data privacy and strict governance
View ProjectMulti-Agentic Voice AI System (Nawaloka Hospital)
January 1, 2025 – June 30, 2026
Co-developing a voice driven multi agent platform via LangGraph to automate healthcare CRM operations and patient inquiries. Built the full text-path using FastAPI and React.js, incorporating a 4-tier memory system (Supabase + pgvector), custom MCP servers, and a Qdrant-backed CAG FAQ cache secured by Llama guardrails. Developing the real-time voice pipeline by integrating LiveKit, Deepgram STT, and ElevenLabs TTS into containerized Docker microservices for low-latency deployment.
View ProjectMediCore Analytics - AI-Driven Hospital CRM Analytics System
January 1, 2025 – June 30, 2026
Developed an end-to-end hospital CRM analytics platform enabling natural language querying over relational databases with an Orchestrated multi-agent workflow via LangGraph featuring an intent router, an NL2SQL agent with built-in read-only safety, and an answer synthesizer. Built the system using FastAPI and PostgreSQL (Supabase), leveraging Plotly for dynamic KPI dashboards and integrating Langfuse for advanced LLM observability and runtime tracing.
View ProjectFine-Tuning LLM for Medical Specialist
January 1, 2025 – June 30, 2026
Fine-tuned a specialized Medical AI model using QLoRA to operate efficiently on low-memory hardware (NVIDIA T4) without sacrificing accuracy with end-to-end pipeline to export the model in GGUF format for local deployment, incorporating custom safety guardrails to ensure reliable output.
View ProjectCustomer Churn Prediction System for Bank
January 1, 2025 – June 30, 2026
Developed an end-to-end machine learning pipeline using XGBoost to predict bank customer churn, achieving over 80+% prediction accuracy through feature engineering and hyperparameter tuning. Built and orchestrated data workflows using Apache Airflow, Apache Kafka, and PySpark to handle real-time and batch data processing and deployed the production-ready solution using Flask, containerized with Docker, and tracked experiments via MLflow across AWS cloud infrastructure
View ProjectKidney Disease Classification System (Deep Learning | MLOps)
January 1, 2025 – June 30, 2026
Built a deep learning pipeline using VGG16 for kidney tumor detection from CT scan images, ensuring high scalability for medical AI systems. Implemented full MLOps integration using DVC for data/model versioning and MLflow for robust experiment tracking and model management and containerized the production ready application using Docker, designing the architecture to seamlessly transition from CPU proof-of-concepts to GPU-accelerated deployments.
View ProjectPostman API Fundamentals Student Expert
Postman
June 1, 2026 – Present
Apache Airflow 3 Fundamentals
Astronomer
June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
June 1, 2026 – Present
AWS Solutions Architect Associate 2026
Udemy
June 1, 2026 – Present
Docker for Absolute Beginners with Hands on Projects
CodeKu DevOps Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including healthcare, finance, and general CRM analytics, indicates adaptability and a broad interest in applying AI solutions across different sectors. Their involvement in technical writing and educational content creation suggests a willingness to share knowledge and contribute to a learning culture. The experience with multi-agent systems and MLOps aligns well with an innovative, fast-moving AI engineering team. The current education status (undergraduate) might suggest a need for mentorship in a senior role, but the practical experience mitigates this to some extent.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through self-employment and content creation. Their technical writing and volunteer experience suggest good communication and collaboration potential. The project descriptions indicate an ability to work on complex, real-world problems, which aligns well with operational demands. However, without specific psychometric test results, a deeper assessment of stress handling and team collaboration is not possible.