
Exploring and intergrating new machine learning techniques
Delving into development using multiple stacks of langauges
Full-Stack AI Developer
Building and deploying enterprise AI/ML systems with measurable impact. Specializing in Python, Next.js, and MLOps — with production systems achieving 85%+ efficiency gains in financial services.
Enterprise AI applications with Python, Next.js, and Gemini API
AI model development, training, and production deployment
Regulatory frameworks and responsible AI deployment
MySQL design, ETL automation, and data pipelines
Accessible, user-friendly interfaces for AI-powered products
Stakeholder management, Agile delivery, and team coordination
Enterprise OCR client onboarding system reducing processing time from 35–60 minutes to 5–7 minutes — an 85–90% efficiency gain over vendor alternatives.
AML transaction monitoring system processing 99,892 transactions at 95% accuracy, flagging 16,617 risky cases including 945 critical.
Full-stack ATS resume platform with BART LLM trained on 2,300+ resumes, real-time job matching, and automated scoring.
Real-time anti-spoofing liveness detection system for financial KYC, using MediaPipe and Gemini AI with WebSocket streaming.
Software Engineer
Mar 2025 - Present
Web Developer
Mar 2024 - Present
Junior Project Manager
Feb 2024 - Apr 2024
Bachelor of Science in Computer Science
2021-2025
Cambridge International A level
2019-2021
IT Intern
Apr 2020 - May 2020
IT Intern
Apr 2019 - May 2019
Cambridge International IGCSE
2017-2019