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Thanuka.

Strategic Impacts. Impacts.

Case studies in AI engineering, data science, and enterprise architecture—focused on solving complex business bottlenecks.

AI Job Hunter: Autonomous Talent Acquisition System

Lead AI Engineer & Architect

The Challenge

The manual process of discovering, matching, and applying for high-signal opportunities is extremely inefficient and prone to low quality. Most automation tools use 'brute force' which results in poor outcomes.

The Solution

Architected a multi-agent system using LangChain and Gemini 3.1. It features a decision layer that scores opportunities before applying, a RAG pipeline for dynamic context injection, and Playwright for human-like browser automation.

The Impact

Built an autonomous system that reduces job application time by 90% through intelligent filtering and RAG-based personalization.

Built an autonomous system that reduces job application time by 90% through intelligent filtering and RAG-based personalization.

Technical Engine

LangChainGemini 3.1FAISSPlaywrightRAGPython

Predictive Analytics for Healthcare Payment Forecasting

Lead Data Scientist / Researcher

The Challenge

Healthcare revenue cycles are often reactive. Organizations struggle with delayed payments and high denial rates because they can't predict which claims are at risk.

The Solution

Developed a proactive framework using Random Forest and Neural Networks on a 3-year dataset (~28k records). Leveraging ML to forecast payment behaviors in RCM, achieving R² > 0.90 for financial prioritization.

The Impact

Enhanced financial predictability for large-scale healthcare providers and achieved R² > 0.90 accuracy.

Leveraging ML to forecast payment behaviors in RCM, achieving R² > 0.90 for financial prioritization.

Technical Engine

Scikit-learnNeural NetworksPandasHealthcare RCMStatistical Modeling

RevOps AI: Autonomous Data Auditing Platform

System Architect & Full Stack Developer

The Challenge

Billing errors and data hygiene issues cost healthcare providers millions. Manual auditing is slow, inconsistent, and unscalable.

The Solution

Built a platform with an Autonomous Agent Architecture (CEO, Eng, ML Pods). It uses a specialized logic component to scan for architectural patterns and Scikit-learn models for payment forecasting.

The Impact

Reduced manual audit effort by 40% and improved KPI visibility for financial controllers through real-time predictive dashboards.

A B2B SaaS transforming Healthcare RCM through autonomous data auditing and agentic pods.

Technical Engine

FastAPIReactScikit-learnDockerGCPAgentic AI

Collective Intranet: Enterprise Workflow Engine

Full Stack Architect & Main Developer

The Challenge

Managing a growing team across multiple RCM departments required a centralized, secure system for training, task management, and administrative reporting.

The Solution

Architected a secure internal platform using Next.js and PostgreSQL. Features centralized tasking, onboarding flows, and automated performance tracking for RCM teams.

The Impact

Streamlined operations for 50+ members, improving productivity and data security.

A secure internal platform centralizing onboarding, training, and performance tracking for RCM teams.

Technical Engine

Next.jsPostgreSQLFlaskTailwind CSSEnterprise Architecture

CareerForge AI 3.0: Voice-AI Career OS

Full Stack AI Engineer

The Challenge

Job seekers lack realistic, real-time data and high-fidelity practice tools for competitive tech roles.

The Solution

Built a multi-agent career OS featuring low-latency voice interactions (Gemini 3.1 Live API) and real-time market grounding using Google Search integration.

The Impact

Built a voice-first career platform that provides real-time market grounding and interview coaching.

Revolutionizing how candidates prepare for high-stakes interviews with real-time AI feedback.

Technical Engine

Gemini 3.1Next.jsWeb Speech APIVoice AIReal-time Grounding

ReviewRadar AI: Consumer Sentiment Intelligence

AI & Data Engineer

The Challenge

Businesses struggle to extract actionable insights from massive volumes of unstructured customer feedback.

The Solution

Developed an end-to-end sentiment intelligence platform with multi-threaded ETL pipelines, ensemble ML models, and VADER sentiment scores.

The Impact

Captured and processed 7M+ data points to provide deep technical insight into consumer behavior.

Processing 7M+ reviews to generate actionable sentiment insights for business growth.

Technical Engine

PythonXGBoostPostgreSQLETLSentiment Analysis

CodeX: Competitive Coding & Algorithmic Practice

Full Stack Developer & Algorithmic Researcher

The Challenge

Traditional coding platforms often lack specialized local-first performance tracking and specialized practice modes.

The Solution

Built a specialized environment focusing on algorithmic efficiency, featuring real-time execution metrics and structural complexity analysis.

The Impact

Developed a high-performance environment for mastering data structures and algorithmic complexity.

A robust platform for high-performance algorithmic practice and competitive coding simulations.

Technical Engine

C++PythonAlgorithmsData StructuresCompetitive Coding

Disaster Management System: Centralized Response Hub

System Designer & Lead Developer

The Challenge

Coordination during natural disasters is often fragmented, leading to delayed relief and inefficient resource distribution.

The Solution

Developed a centralized response platform integrating real-time reporting, resource tracking, and volunteer coordination modules using PHP and MySQL.

The Impact

Centralized relief efforts and optimized resource distribution for faster disaster response.

Digitizing relief coordination and resource allocation during critical natural disasters.

Technical Engine

PHPMySQLJavaScriptDisaster RecoverySystem Design

Statistical Application: Financial Forecast Modeling

Statistical Researcher

The Challenge

Financial forecasts often fail due to improper validation of underlying statistical assumptions in high-volatility environments.

The Solution

Engineered a specialized application for comparing predictive performance across various statistical models, incorporating sensitivity analysis.

The Impact

Improved forecast reliability through advanced statistical validation and error distribution checks.

Applying rigorous statistical methodologies to validate financial forecasting accuracy.

Technical Engine

RStatisticsPredictive ModelingHypothesis TestingFinancial Analytics