AI Engineer with less than a year in Machine Learning & Blockchain.
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Assessing your cultural and operational fit
AI engineering trainee with hands-on experience in machine learning and blockchain-focused product development at Ranga Technologies Pvt Ltd. Built a strong foundation in programming, problem-solving, and practical experimentation through industry work and academic study in Artificial Intelligence. Eager to contribute to impactful AI projects while continuing to grow in fast-moving, innovation-driven teams.
University of Moratuwa, Faculty of Information Technology
B.Sc. (Hons) in Artificial Intelligence · Artificial Intelligence
August 1, 2022 – June 30, 2026
Mahamaya Girls College kandy
G.C.E. Ordinary Level
June 1, 2010 – May 31, 2019
Mahamaya Girls College kandy
G.C.E. Advanced Level · Mathematic stream with ICT
June 1, 2010 – May 31, 2019
Ranga Technologies Pvt Ltd
Trainee AI Engineer
March 1, 2025 – October 1, 2025
India
Pinegen.ai - Pine Script Web Platform
January 1, 2024 – June 1, 2026
Developed a full-stack platform that lets traders write, test, and deploy Pine Script strategies with TradingView chart integration. • Implemented secure authentication (JWT, MongoDB Atlas), Stripe & crypto payments, autosave editor, and admin dashboards. • Enhanced performance (API caching, DB optimisation) and added AI-assisted script suggestions plus a prototype for natural-language → Pine Script strategy generation. • Technologies Used: React.js, Node.js, Express.js, MongoDB Atlas, TradingView API, Stripe API, JWT, Resend, Strapi CMS, TailwindCSS, Cloudflare/Caddy, GitHub
Raydium Dashboard – Automated Crypto Trading
January 1, 2024 – June 1, 2026
Built a crypto auto-trading dashboard to execute stop-loss / take-profit trades in real-time with live market APIs. • Added risk-control settings, real-time P&L charts, CSV export, and notifications for trade outcomes. • Explored AI heuristics for position-size recommendations based on market volatility. • Technologies Used: React.js, Node.js, Express.js, MongoDB, WebSocket APIs, Chart.js/Recharts, REST APIs, JWT, TailwindCSS
Solana Volume Booster – Token Swap & Liquidity Tool
January 1, 2024 – June 1, 2026
Developed a token-swap and liquidity-boosting tool on the Solana blockchain using AMM/CPMM logic and Jupiter APIs. • Implemented retry logic, structured logs, queue-depth metrics, and advanced error-handling for stable high-frequency swaps. • Researched predictive models for network-congestion forecasting to optimise swap timing. • Technologies Used: Node.js, TypeScript, Solana Web3.js, Jupiter Aggregator API, REST/WebSocket APIs, MongoDB, Caddy Server
Meteora Volume Booster – Continuous Trade Loops
January 1, 2024 – June 1, 2026
Built a web-based volume-booster for continuous buy/sell loops on Meteora pools with stop-loss control and queue management. • Added real-time logging, anomaly-baseline detection for delays, admin monitoring tools, and user notifications for trade outcomes. • Improved stability for long-running trade sessions under high traffic. • Technologies Used: React.js, Node.js, Solana Web3.js, Jupiter APIs, MongoDB, WebSocket APIs, TailwindCSS
Precision Code Evaluation and Enhancement System (DevInsight)
January 1, 2023 – December 31, 2024
Developed as a web-based code review platform, it offers advanced code analysis and feedback, enhancing code quality, streamlining reviews, reducing errors, and accelerating development for improved productivity and collaboration. • Collaborate with 99X (2023-2024) • Role: Full stack developer • Contribution: JWT Authentication, profile, Contact, Face-Recognition Module • Technologies: React, MongoDB, FastAPI, Computer Vision
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge technologies like AI, blockchain, and Web3, which aligns with an innovative and forward-thinking culture. The variety of projects, from code evaluation to crypto trading and liquidity tools, indicates a broad technical curiosity and willingness to tackle diverse challenges. The academic pursuit of AI and the trainee AI engineer role further solidify their commitment to the field. However, the experience is primarily project-based and relatively short-term, which might require some mentorship to fully integrate into a senior team's operational rhythm.
Soft Skills & Operational Fit
The candidate's project descriptions indicate collaboration (e.g., 'Collaborate with 99X') and problem-solving skills (e.g., 'Implemented secure authentication', 'Enhanced performance'). The summary also highlights a strong foundation in problem-solving and practical experimentation. The diverse project portfolio suggests adaptability and a proactive approach to learning new technologies, which aligns well with fast-moving, innovation-driven teams.