About Me

👋

I'm a Senior Full Stack ML Engineer with deep expertise in MLOps, Large Language Models (LLM), and RAG systems. I specialize in architecting scalable AI solutions and developing agentic workflows for automated ML pipelines and intelligent systems.

With extensive experience in AWS cloud architecture and LLM optimization, I've successfully delivered high-impact ML solutions across fintech, healthcare, and enterprise sectors, consistently achieving significant improvements in model performance and system efficiency.

My technical expertise is backed by AWS Certifications in Machine Learning (Specialty), Solutions Architecture (Professional), and Developer (Associate). I combine this cloud expertise with practical experience in building and deploying production-grade ML systems.

Key Achievements:

  • Built financial planning platform's AI infrastructure on AWS, integrating OpenAI with Langchain
  • Optimized calculation engine using Polars, achieving 30% faster processing
  • Developed healthcare ML models improving program effectiveness by 15%
  • Implemented MLOps platforms using MLflow, Kubeflow, and Airflow
  • Created scalable batch processing systems with Kubernetes and RabbitMQ
  • Integrated vector databases and RAG for enhanced LLM applications

ML/AI Skills

Machine Learning/AI

95%

MLOps

90%

AWS Cloud

90%

AWS SageMaker

85%

MLFlow

85%

NLP

85%

Data Pipeline/ETL

85%

PyTorch/TensorFlow

90%

Computer Vision

80%

Model Optimization

80%

LLM Skills

OpenAI/GPT

90%

LangChain

85%

RAG

90%

Prompt Engineering

85%

Vector Databases

80%

LLM Fine-tuning

85%

Embeddings

80%

Context Window Optimization

75%

Full Stack Skills

Python

95%

Golang

90%

React/NextJS

85%

AWS Cloud

90%

Docker/Kubernetes

85%

FastAPI/Express

80%

PostgreSQL/Redis

85%

CI/CD

80%

System Design

85%

Senior Full Stack ML Engineer, Blox AI Fintech

Jul 2023 — Present

Architected AWS infrastructure for financial planning platform

Integrated OpenAI and Langchain for AI-powered financial modeling

Optimized calculation engine with Polars, reducing time by 30%

Implemented MLOps using AWS MLflow for model versioning

Developed agentic workflows for automated data processing

Enhanced LLM outputs using RAG techniques

Leveraged AWS SageMaker for ML model deployment

Engineered ETL pipeline with AWS Glue and Redshift

Integrated Stripe payment for subscription management

Increased model accuracy by 25% through fine-tuning

Designed robust calculation engine for complex formulas

Ensured ISO compliance for financial data handling

Senior Full Stack ML Engineer, ONKO(Alvie)

Jan 2022 — Jun 2023

Developed ML models improving patient care program efficiency by 15%

Optimized recommendation engine increasing user retention by 25%

Implemented real-time monitoring for wearable device data

Leveraged transfer learning for rapid clinical model deployment

Established MLOps platform with Kubeflow, Airflow, and MLflow

Created comprehensive testing suite for data pipeline integrity

Built data visualization dashboards using JavaScript

Developed AWS Lambda functions for data processing

Integrated IoT Greengrass for device data management

Implemented predictive analytics for patient risk assessment

Full Stack ML Engineer, Aligned Automation

Jul 2021 — Dec 2021

Built scalable batch processing improving throughput by 50%

Automated PowerPoint generation saving 80 hours monthly

Fine-tuned OpenAI models increasing relevance by 30%

Implemented prompt engineering for LLM optimization

Created data pipeline for CRM personalization

Utilized Pinecone for efficient embedding storage

Developed FastAPI-based unified CRM platform

Engineered Excel system processing 100,000+ rows

Integrated AWS Lambda and Step Functions

Implemented GitLab CI with SonarQube and Snyk

Tech Lead, Siya Tech Ventures

July 2021 — Present

Trained teams on MLFlow, Langchain, RAG, and LLM fine-tuning

Implemented solutions with MySQL, PostgreSQL, MongoDB, and vector DBs

Developed full-stack applications using React and Node.js

Led multiple client projects adapting to diverse requirements

Collaborated with teams on specifications and delivery

Established testing frameworks for code quality assurance

Stayed current with emerging AI and development trends

Worked across various domains expanding technical expertise

Software Development Engineer, Compass Property Tech

May 2020 — July 2021

Developed Risk Assessment of Commit (RAC) tool for CI/CD pipeline

Designed automated service for random data generation

Created data-driven integration tests for Android applications

Established comprehensive Android unit testing infrastructure

Refactored codebase to improve testability and maintainability

Conducted Android app profiling and performance optimization

Built tools for code quality assessment and risk management

Integrated new testing practices into development workflow

Full Stack ML Engineer, Fantasy King Sports

Jan 2018 — May 2020

Built comprehensive platform using React, Flutter, Flask, and Firebase

Engineered real-time match statistics processing system

Implemented microservice-based leaderboard system in Go

Optimized performance with Redis caching for player rankings

Developed Angular PWA for cross-platform accessibility

Created RESTful APIs with Node.js for gaming functionalities

Built ML models for player performance prediction using ensemble methods

Developed recommendation system using collaborative filtering

Managed containerized deployment on AWS and GCP

Implemented MLflow for experiment tracking and model versioning

Full Stack Data Engineer, Golfhubber Sports Marketplace

Apr 2017 — Dec 2018

Implemented Firebase Realtime Database for 39,000+ active scorecards

Deployed Elasticsearch, optimizing search across 90,000+ entities

Developed Node.js Firebase Functions for real-time analytics

Managed containerized Elasticsearch on AWS with 99.9% uptime

Integrated React, Android, iOS, Flask, and AWS services

Optimized Docker deployment improving efficiency by 35%

Scaled system to handle 2X user growth and peak loads

Engineered AWS data pipeline with Glue, Athena, and Redshift

Implemented serverless transforms with Lambda and Step Functions

Integrated AWS Data Exchange for external golf datasets

Full Stack Developer, TPI Labs Fintech Compliance

Aug 2016 — Mar 2017

Developed RESTful APIs using Node.js and Express.js for transfer pricing

Enhanced security features to pass third-party penetration testing

Optimized API performance and database query efficiency

Implemented document generation for Word documents

Built frontend features using React and TypeScript

Integrated ELK stack for logging and monitoring

Applied Machine Learning concepts to compliance processes

Contributed to containerization for improved deployment

Full Stack Developer, Siya Tech Ventures

Aug 2016 — May 2020

Assisted in developing user interfaces using HTML, CSS, and JavaScript

Learned and applied frontend frameworks like React and Angular

Implemented responsive designs for cross-device compatibility

Assisted in developing and maintaining APIs for frontend consumption

Learned database fundamentals and helped with database operations

Participated in implementing security measures and data validation

Assisted in troubleshooting and debugging full-stack issues

Contributed to technical documentation for systems

Stayed updated on frontend and backend technologies

Collaborated with cross-functional teams on requirements