Available to hire
I develop and deploy GenAI applications that turn complex operational data into insights and actions for non-technical stakeholders. I focus on LLM-driven decision support and supply chain risk analysis using few-shot prompting, RAG, and multi-agent architectures.
I enjoy bridging research and engineering—prototyping fast, then hardening ideas into production-ready backends and UIs. I’m currently seeking GenAI and applied AI roles where I can own delivery end-to-end, from prompt and model design to architecture and UX.
Experience Level
Expert
Expert
Expert
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Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Beginner
Beginner
Language
English
Fluent
Finnish
Beginner
Work Experience
Network Tower Anomaly Detection @ Diversey Oy (Rain.Global Platform) at Diversey Oy
December 1, 2025 - PresentImplemented STL+ESD anomaly detection on Partel/BLC tower sensor data, reducing false positives by ~40% vs baseline and detecting level shifts faster. Created a K-means-based anomaly detection system for Telia network tower sensors and modified RAIN dashboards to visualize alarms, trends, and suggested maintenance actions for stakeholders.
AI Engineer @ NinjaLab OY at NinjaLab OY
July 1, 2025 - November 30, 2025Developed and deployed an AI-powered sustainable eco-routing web service. Users ask natural-language questions about routes and events; an OpenAI LLM backend interprets requests and queries the HSL API as structured data. Built a self-service analytics-style React UI to explore transport-mode preferences and route alternatives with trade-offs using real service data. Implemented production services using Node.js, React, and Docker, and added unit/integration/load testing (simulating ~500 concurrent users) to ensure reliability and performance of the LLM backend and routing dashboards for non-technical stakeholders. Also built an AI-powered pediatric therapeutic gamification system (KauKoCare) using OpenAI API function calling, prompt/tool design for reliable outputs, and voice activation (custom wake word + Speech-to-Text). Added real-time pose matching using MoveNet and TensorFlow.js with visual/audio rewards.
AI Engineer at NinjaLABO OY
July 1, 2025 - November 30, 2025AI-Powered Sustainable Eco-Routing Platform (RecoTech): Developed an LLM-powered eco-routing service processing natural language route queries via an OpenAI backend integrated with the HSL public transit API, scaled to 500 concurrent users at 45 RPS. Load-tested the production app achieving p95 latency of 1.4s and <1% failure rate at peak load; maintained 82% test coverage across unit, integration, and load test suites (Locust, pytest). Implemented user preference logic combining transport mode and HSL route data; deployed the full-stack app (Node.js, React) on Railway via Docker with automated CI/CD pipelines. AI-Powered Pediatric Therapeutic Gamification System (KauKoCare): Built a pediatric therapeutic assistant using OpenAI API and ChatGPT function calling with prompt-engineered interaction flows to guide and motivate children during physical exercises; integrated wake word detection and Google Speech-to-Text for hands-free voice activation; developed real-time pose-matching at 30
Machine Learning Engineer at Hecktobyte
January 1, 2024 - February 28, 2025Developed and deployed deep learning models for real-time emotion detection (OpenCV, CNN) and accident detection (YOLOv8) in production; performed large-scale data processing using Python and SQL; built and maintained CI/CD pipelines with Jenkins and GitHub Actions; reduced API response time by ~30% through asynchronous Python refactoring and code optimization in an Agile/Scrum team.
Software Engineer @ Nanocare at Nanocare
July 1, 2021 - September 30, 2023Developed device control software for the Nanocare Gun in C++ with a focus on performance-critical embedded and real-time operations. Built monitoring dashboards using Plotly and Pandas for device KPIs. Implemented automated tests (pytest, Selenium) and deployed applications on AWS EC2 with continuous integration.
Software Engineer at Nano Care
July 1, 2021 - September 30, 2023Developed performance-critical embedded device control software for the NanoCare Gun system in C++, focusing on real-time operations and low-latency command execution; built automated monitoring dashboards using Plotly and Pandas to track device performance metrics and KPIs, eliminating manual reporting overhead; implemented automated test suites with pytest and Selenium; deployed applications on AWS EC2 with continuous integration pipelines.
Education
M.Sc. Software Engineering at University of Turku
January 1, 2024 - December 31, 2026B.E. Computer Engineering at Mehran University of Engineering and Technology, Pakistan
January 1, 2016 - December 31, 2020Software Engineering, M.Sc. at University of Turku
January 1, 2024 - January 1, 2026Computer Engineering, B.E. at Mehran University of Engineering and Technology
January 1, 2016 - January 1, 2020Qualifications
IBM RAG and Agentic AI Professional Certificate
February 1, 2026 - June 30, 2026IBM RAG and Agentic AI Professional Certificate (IBM / Coursera)
February 1, 2026 - July 10, 2026Industry Experience
Software & Internet, Healthcare, Education, Transportation & Logistics, Media & Entertainment, Computers & Electronics, Telecommunications, Manufacturing, Financial Services, Professional Services
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Beginner
Beginner
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