AI Engineer with less than a year in Machine Learning, Deep Learning, and Generative AI
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Artificial Intelligence undergraduate at the University of Moratuwa with strong expertise in Machine Learning, Deep Learning, and Generative AI. Hands-on industry experience building multi-agent systems, RAG pipelines, and real-time analytics applications. Currently conducting research on hallucination mitigation in text-to-3D generative models. Proven ability to transform complex AI concepts into practical, scalable, production-ready solutions, seeking an AI/ML Engineering or Data Science role.
University of Moratuwa
B.Sc. (Hons) · Artificial Intelligence
August 1, 2022 – June 30, 2026
Pinnawala Central College, Kegalle
GCE Advanced Level
N/A – May 31, 2020
CodeGen International (Pvt) Ltd
Artificial Intelligence Engineer (Trainee)
February 1, 2025 – August 1, 2025
India
RV-Group (Pvt) Ltd
District Manager
March 1, 2021 – December 1, 2022
India
Pragathi High Education Institute
Tutor, Advanced Level ICT
January 1, 2021 – Present
India
Dream Coffee - Location-Aware Recommendation System
January 1, 2025 – June 1, 2026
Developing a full-stack hybrid recommendation engine for coffee shops that combines collaborative filtering on implicit user feedback with NLP-based sentiment analysis of reviews to model nuanced user preferences. Implemented dynamic scoring with geospatial distance decay and temporal factors, so recommendations adapt in real time to where the user is and when they are searching; integrated Google Maps API for proximity-aware suggestions. Built secure REST APIs with JWT authentication and SQLAlchemy ORM on the backend, with a responsive React + Vite frontend, working end-to-end as the sole full-stack developer.
View ProjectYouFIRA - Autonomous Item-Fetching Robot
January 1, 2025 – June 1, 2025
Developed a robot that autonomously fetches requested items: it locates objects with camera-based detection, estimates distance, navigates with PID-balanced motion control, grips items using inverse kinematics, and delivers them to the user. Implemented the computer vision stack with TensorFlow and YOLO for object recognition, wrote the core Python control logic, and applied ROS for robot arm control. Handled microcontroller integration and wiring across Raspberry Pi and Arduino, and participated in the physical manufacturing and assembly of the robot.
View ProjectSentiView Real-Time Sentiment Analytics Dashboard
January 1, 2025 – June 1, 2025
Built a real-time sentiment analytics dashboard using FastAPI and WebSockets that ingests and processes multi-source data streams (calls, emails, social media feeds), enabling live monitoring of customer sentiment trends and automated anomaly detection for business decision-making. Engineered the complete notification subsystem: fetching notifications from APIs, real-time delivery over WebSocket connections, persistent storage in MongoDB, and read/unread state management.
View ProjectVeracityAI Generative AI Hackathon 3.0
Unknown
January 1, 2026 – Present
Gen AI Buildathon
CodeGen with AWS
January 1, 2025 – Present
Make-A-Thon
University of Kelaniya
January 1, 2025 – Present
PovertyHack
Open University Sri Lanka
January 1, 2025 – Present
ACES Coders
University of Peradeniya
January 1, 2025 – Present
Triathlon
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from recommendation systems to robotics and sentiment analysis, shows a broad interest and adaptability. Their involvement in hackathons and leadership roles in student organizations suggest a proactive, team-oriented individual who is eager to learn and contribute. The academic background in AI and practical experience with modern AI stacks align well with an AI Engineer role, indicating a strong cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and organizational skills through roles like District Manager and Project Coordinator. Their experience as a tutor suggests good communication and mentoring abilities. Participation in hackathons indicates a collaborative and problem-solving mindset, which aligns well with operational demands in an AI engineering role.