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AI Engineer with 1+ years in LLM Orchestration & Multi-Agent Systems
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer and Data Scientist with hands-on experience building production LLM systems, multi-agent architectures, and SaaS platforms. Specialized in LLM orchestration, Retrieval-Augmented Generation (RAG), multi-agent AI systems, and end-to-end AI product development. Proficient in Python, FastAPI, React/Next.js, AWS cloud deployment, and modern AI/ML stacks including OpenAI, Gemini, Pinecone, and LangChain. Strong communicator and technical leader with a proven track record across research, product development, and student initiatives.
General Sir John Kotelawala Defence University
BSc in Applied Data Science and Communication · Applied Data Science and Communication
August 1, 2023 – June 30, 2026
St. Joseph's Girls' College, Kegalle
GCE A/L · Bio Science Stream
June 1, 2007 – May 31, 2021
En2H
AI Researcher
June 1, 2025 – Present
India
En2H
AI Engineer
December 1, 2024 – Present
India
FlowCore – Multi-Agent SaaS Platform for SMEs
June 1, 2026 – Present
End-to-end AI SaaS product with specialized agents for customer segmentation, business insights, lead scoring, and onboarding. Stack: FastAPI, PostgreSQL, Redis, Supabase, Next.js, OpenAI, AWS ECS.
Galileo Classroom AI – AI Tutor for K-6 Students
June 1, 2026 – Present
RAG-based AI tutor for a learning platform serving Grade 1-6 students; integrated Pinecone vector store and Gemini for adaptive responses. Stack: React Native, Next.js, Spring Boot, FastAPI, Pinecone, Gemini, AWS EC2.
View ProjectAI-Powered Urban Green Space Optimization
June 1, 2026 – Present
Used ML and GIS analysis to optimize green spaces in Colombo. Visualized insights with Power BI for urban sustainability planning.
View ProjectData Science Job Trends Dashboard – UK, USA, Canada
June 1, 2026 – Present
Built interactive Power BI dashboard using Python, SQL, and job market data.
View ProjectFire Pattern Analysis with K-means and R
June 1, 2026 – Present
Clustered fire hotspots, predicted risk zones, and visualized spatial patterns.
AI Health Meal Planner Agent (Chatbot)
June 1, 2026 – Present
Developed an AI-powered meal planning chatbot using Python and agent-based reasoning. Focused on health goals, user preferences, and nutrient diversity.
Microsoft Azure AI Fundamentals
Microsoft
June 1, 2026 – Present
Google Certified Data Analyst
June 1, 2026 – Present
Microsoft Power Up Program (Low-Code Maker)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from professional SaaS platforms to academic research and personal chatbots, indicates a broad interest in AI applications and a proactive approach to learning and development. Their involvement in leadership and volunteering roles (NASA Space Apps Hackathon, SEDS, IEEE) suggests a collaborative spirit and a willingness to contribute beyond core technical tasks. The focus on sustainability and smart cities in research aligns with socially conscious values. The combination of AI engineering and data science roles shows versatility and a holistic view of data-driven solutions, which can be a strong cultural fit for dynamic, innovation-driven teams.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and communication skills through their involvement in various academic and volunteer initiatives (Team Lead, Secretary, Media Director). Their project descriptions are clear and detailed, indicating good written communication. The experience in AI governance documentation (GDPR/HIPAA) suggests an understanding of operational best practices and compliance, which is crucial for production AI systems. The diverse project portfolio also indicates adaptability and a proactive learning attitude.