Software Engineer | AI/ML Specialist | Full-Stack Developer
Software Engineer with 5+ years of experience building scalable data pipelines, backend systems, and AI-powered solutions. Expert in Python, Java, ETL automation, and machine learning. Delivering secure, well-documented solutions on AWS and Azure.
Software Engineer with 5+ years of experience building scalable data pipelines, backend systems, and AI-powered solutions. Currently working at Integral Systems, Inc., where I design and maintain ETL pipelines and develop custom CRM platforms.
I specialize in Python, Java, SQL, and PostgreSQL, with expertise in ETL automation, data reliability, and CRM integration. My experience spans from developing high-performance payment gateway systems processing 2M+ daily transactions, to building multi-agent AI systems using CrewAI and LangChain that increased operational efficiency by 65%.
I hold a Master of Science in Computer Science from the University of Wisconsin-Milwaukee, where I was awarded the Chancellor's Graduate Student Award. My research focused on AI systems for automating graduate admission document processing, improving faculty review efficiency by 60%.
AI-powered application that uses CrewAI multi-agent systems to automatically tailor resumes and prepare interview materials for specific job postings. Analyzes job descriptions, resumes, GitHub profiles, and personal background to create ATS-optimized resumes with XYZ format bullets and generate relevant interview questions. Leverages specialized AI agents for research, profiling, resume strategy, and interview preparation.
Developed an AI-driven question-answering system using Retrieval-Augmented Generation (RAG), combining document retrieval and natural language generation. Implemented FAISS for efficient vector embeddings and T5 transformers for context-aware answers.
Flask-based web application that predicts graduate admission chances by extracting and analyzing scanned SOP and LOR PDFs using OCR and NLP. Achieved MAE of 0.05 and R² of 0.82, improving faculty review efficiency by 60%.
Led development of a voice-activated quiz platform using Angular, JavaScript, and Spring Boot, improving accessibility by 95% for visually and motor-impaired users. Increased user engagement by 40% with adaptive UI themes and advanced speech recognition.
Developed microservices-based MES platform with real-time monitoring using Java Spring Boot and REST APIs. Improved manufacturing efficiency by 40% and enhanced data storage efficiency by 25% through MongoDB and PostgreSQL integration.
I provide comprehensive technology solutions to help your business grow
RAG systems, multi-agent AI platforms, NLP/OCR solutions, and machine learning models for intelligent automation.
Enterprise applications using Spring Boot, Flask, Angular, React Native. Backend systems with REST/SOAP APIs.
Scalable ETL pipelines, data integration, CRM systems, and data reliability solutions with automated monitoring.
AWS/Azure deployment, Docker/Kubernetes orchestration, CI/CD pipelines, and infrastructure automation.
High-performance payment gateway systems with 99.99% uptime, fraud prevention, and secure transaction processing.
Microservices architecture, message queues (RabbitMQ, Kafka), database integration, and legacy system modernization.
Ready to discuss your project?
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University of Wisconsin-Milwaukee
May 2025
Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming, Machine Learning
Achievements: Graduate Teaching Assistant, Awarded the Chancellor's Graduate Student Award
Developer Certification
Building Scalable Java Microservices Certification
RHCSA Certification
Examination Paper Setter Automation System (SW-12888/2019)
Have a project in mind? Email me or book a meeting to discuss your ideas.
The best way to reach me is through email or by booking a meeting. I'll respond as soon as possible!