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Data Engineer & AI Developer | 3+ Years Financial Industry Experience I build data pipelines, AI-powered applications, and automation systems that run reliably at scale. My background spans web scraping, LLM integration, computer vision, betting automation, and full-stack data dashboards — delivered to clients across the US, UK, Europe, and Japan. 💼 Background — 3+ years at a leading Indian bank building risk models, credit scorecards, and AutoML pipelines — PG Diploma in Big Data Analysis ⚡ What I Deliver — Web scrapers handling 1.2M+ URLs and 120K daily pipelines — LLM/AI apps using GPT-4, Gemini, LangChain, RAG, Text-to-SQL — Full Betting automation for horse racing, golf, and football signals — Computer vision pipelines with YOLOv8 and PaddleOCR — Streamlit dashboards, risk scorecards, and AutoML tools 🏆 Notable Work — PitchBook scraper — 1.2M URLs — Njuskalo — 120K daily real estate listings — Text-to-SQL architecture — BetFare — full Betfair automation — LLM Notebook — $1,420 solo delivery — Anti-bot bypass systems 🛠️ Stack Python · Playwright · Selenium · GPT-4 · Gemini · LangChain · Streamlit · PySpark · SQL · YOLOv8 · PaddleOCR · FastAPI · Betfair API · n8n Clean code. Clear communication. Delivered on time.

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

I’m a Data Science Consultant with a passion for turning raw data into clear, actionable insights. With 5+ years in machine learning, predictive analytics, and data visualization, I use Python, Tableau, Power BI, and SQL to create intuitive dashboards and models for retail, tech, and healthcare clients. My work has improved decision-making, boosting efficiency by 15–30%. Certified in Google Data Analytics, I blend AI tools with strategic consulting to deliver ethical, high-impact solutions. Let’s unlock your data’s potential—contact me today! 🌟 Key Skills: Data Visualization, Machine Learning, Predictive Modeling, Python, SQL, Tableau, Power BI 🌟 Industries: Retail, Tech, Healthcare 🌟 Achievements: Designed a dashboard saving 10 hours/week; predicted customer churn with 85% accuracy 🌟 Certifications: Google Data Analytics Professional, Tableau Desktop Specialist

With 14 years of software development experience, I specialize in Artificial Intelligence, Large Language Models (LLMs), Machine Learning (ML), and AI-powered cloud solutions. My expertise spans across LLM integration, Natural Language Processing (NLP), AI-driven automation, Recommendation Systems, OCR technologies, designing and optimizing scalable high-performance backend systems using Java (Spring Boot, Spring Batch), Python (Flask, FastAPI), and NGINX while ensuring robust cloud infrastructure on AWS. AI & Machine Learning Expertise - LLMs & NLP – OpenAI GPT, Anthropic Claude Sonnet, Google Vertex AI, Hugging Face BERT, Transformer Models - Conversational AI – Chatbots, Virtual Assistants, AI-driven customer support - Text Analytics & Search – Named Entity Recognition (NER), Text Summarization, Sentiment Analysis, Semantic Search - Recommendation Systems – AI-driven industry classification & harmonization of company codes (NAICS, SIC) - OCR & Document AI – AI-powered text extraction from handwritten notes & scanned documents using AWS Textract - Data Science & Deep Learning – Feature Engineering, Model Fine-tuning, Predictive Analytics - AI Automation & Optimization – Intelligent Process Automation (IPA), AI-based Data Processing Pipelines Programming & Tech Stack - Python – TensorFlow, PyTorch, Scikit-learn, FastAPI, OpenCV, Numpy, Pandas - Java – Spring Boot, Microservices, RESTful APIs, Apache Spark - ML Frameworks & Libraries – Transformers, LangChain - Vector Databases & Embeddings – PGVector, Pinecone - Data Engineering – Data Preprocessing, Feature Engineering, ETL Pipelines AWS Cloud & AI Services - AWS Lambda – Serverless AI automation - AWS SageMaker – AI model training, fine-tuning, and deployment - Amazon DynamoDB & RDS – High-performance NoSQL & SQL solutions - Amazon Bedrock – LLM deployment & inference at scale - Vector Search & Embeddings – Knowledge Graphs, Context-Aware AI - AWS Textract – AI-powered OCR solutions for structured & unstructured data Backend & API Development Expertise - Java & Spring Frameworks – Spring Boot, Spring Batch, Microservices, REST APIs - Python Web Frameworks – Flask, FastAPI, API Development & Optimization - NGINX – High-performance API routing, Load balancing, and Reverse Proxy setup - Scalable & Secure API Development – GraphQL, RESTful APIs, Authentication, Role-Based Access Control (RBAC) AWS Cloud & Infrastructure as Code (IaC) - AWS VPC – Secure networking, private and public subnet management - AWS Lambda – Serverless computing for high-performance applications - AWS EC2 & Elastic Load Balancing (ELB) – Scalable compute instances & optimized traffic distribution - AWS Aurora & ElastiCache – High-availability databases & caching for optimized performance - AWS EFS – Scalable storage solutions for distributed applications - AWS API Gateway & Cognito – Secure API management & user authentication - Infrastructure as Code (IaC) – Terraform, AWS CloudFormation for automated deployment & scalability Database & Big Data Expertise - Relational Databases: MySQL, PostgreSQL (including Pgvector for vector search & AI applications) - NoSQL & Search Databases: DynamoDB, OpenSearch (formerly Elasticsearch) - Big Data Processing: Hands-on experience with large-scale data processing, optimization, and querying Why Work With Me? - AI-powered automation – Automating workflows, AI-driven decision-making - LLM & NLP Expertise – From chatbots to AI-based text analysis & search engines - End-to-End AI Development – Data preprocessing, model selection, fine-tuning, and deployment - Cloud-Optimized Solutions – Scalable AI architectures using AWS and vector databases - AI-Driven Recommendation Engines – Industry-specific AI models for classification & personalization Let's collaborate to build cutting-edge AI solutions that transform businesses! Contact me today to discuss your next AI project!

I’m a Senior AI & Machine Learning Engineer with 5+ years of hands-on experience building and deploying production-ready AI systems for international clients. I help businesses turn complex ideas into reliable, scalable solutions that deliver real results. My core expertise includes Computer Vision, Natural Language Processing (NLP), Deep Learning, and end-to-end ML pipelines. I’ve developed models for anomaly detection, document understanding, image analysis, and large-scale text processing using Python, PyTorch, TensorFlow, and modern transformer architectures. I also work extensively with transformer fine-tuning (BERT, RoBERTa) and LoRA, designing efficient workflows from data preparation to deployment. Beyond AI, I bring strong software engineering skills, building automation, web scraping, and backend APIs that integrate AI models into real-world systems. What I can help you with: Custom AI / ML model development Computer vision & NLP solutions Transformer fine-tuning (including LoRA) Python automation, data extraction & web scraping API & backend integration (FastAPI, Java) Cloud deployment & optimization (Docker, AWS) If you’re looking for someone who can own your AI project end-to-end and communicate clearly at every step, let’s discuss your requirements.

Need a backend developer who can build secure, scalable APIs — and integrate AI into them — while actually understanding the business behind the product? That's exactly what I do. I'm a Senior Software Engineer at Optum (UnitedHealth Group), building enterprise healthcare applications with Java, Spring Boot, microservices, REST APIs, React, Next.js and AI integration. With 5+ years of production experience — including 4 years at Optum, one of the world's largest healthtech companies, and a year at Apisero in enterprise consulting — I know how to ship reliable systems that handle real scale, security, and users. What I bring to your project: - Backend: Java, Spring Boot, Spring Security, Microservices, REST APIs, Hibernate, JWT, Node.js - Frontend: React.js & Next.js for fast, responsive, SEO-friendly interfaces - AI integration: LLM features with the OpenAI & Claude APIs, RAG, and automations / AI agents (n8n) - Database: MySQL schema design and optimization - Domain edge: an MBA in Finance — I understand fintech, healthtech and SaaS products, not just the code A couple of recent builds (full case studies in my Portfolio section below): - InvestorVault — a full investor-management portal (Spring Boot + React + JWT + MySQL) with secure authentication and financial data handling - An AI job-matching agent (n8n + Claude API) that scores opportunities and drafts tailored responses automatically I'm a clear communicator, I hit deadlines, and I treat your product like my own — whether it's a new API, a full-stack app, an AI-powered feature, fixing an existing Spring Boot system, or shipping an MVP. Send me a note about your project and let's set up a quick call to see if we're a fit.