Associate AI/ML Forward Deployed Engineer
Designing and deploying production-ready GenAI capabilities for a novel DevOps automation suite.
HELLO! I AM
Data Science Undergraduate | AI/ML Forward Deployed Engineer
I'm passionate about developing efficient, scalable solutions to streamline complex tasks and address data science challenges.
Designing and deploying production-ready GenAI capabilities for a novel DevOps automation suite.
Problem spaces I enjoy building and shipping in.
Designing autonomous workflows that orchestrate tools, reason over context, and automate execution.
Operationalizing ML systems with reliable deployment workflows, observability, and performance tracking.
Building language systems for classification, information extraction, summarization, and semantic search.
Developing and tuning robust models that generalize well and deliver measurable impact.
Designing personalized recommendation engines that improve discovery, engagement, and retention.
Training deep neural networks and fine-tuning transformer models for complex prediction tasks.
Building forecasting models for demand, operations, and trend prediction using temporal data.
Designing reliable pipelines that clean, enrich, and transform raw data into model-ready features.
Converting messy, high-volume data into decision-ready insights and performance metrics.
An AI-driven platform using LLMs and NLP to personalize learning content from YouTube, Coursera, Udemy, Wikipedia, and arXiv. Features semantic search via Pinecone, secure JWT authentication, and real-time WebSocket delivery for tailored educational experiences across all learner levels.
Analyzes emergency call audio for stress, emotions, speaker diarization, and critical incidents using SER and APIs. Scores dispatcher performance, assesses threat levels, extracts key info, and generates interactive visualizations and reports to enhance dispatch center efficiency.
Processes PDFs, text, and HTML to extract entities/relations via BERT NER, builds Neo4j graphs, enables reasoning with NetworkX, and offers interactive Streamlit visualizations for exploring and querying extracted knowledge structures.
ML-based model predicts telecom churn with feature insights via an interactive Streamlit app, enabling data analysis, visualization, and proactive retention strategies for customer datasets.
Comprehensive ERP web app for Wijesundara Rice Mill, handling inventory, orders, transportation, accounting, HR, CRM, and suppliers. Includes custom tools for stock tracking, task assignment, bidding, and real-time operational efficiency across departments.
Production-focused toolkit for building and deploying modern AI products.