Hi, I'm
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Building scalable, production-ready AI systems with a focus on Agentic AI, RAG pipelines, and seamless ML integrations — delivering automation that actually moves the business forward.
Who I am
I'm a Software Engineer with a Master's in Computer Science, specializing in Python development, data automation, and AI-driven backend systems.
I build Agentic AI agents and RAG pipelines integrated with Supabase, Pinecone, and n8n to automate complex workflows and orchestrate data reliably.
I'm experienced in developing and debugging REST APIs, optimizing backend pipelines, and applying strong data validation and access controls for accurate, dependable reporting.
I'm passionate about creating smart, efficient AI solutions that solve real problems and deliver meaningful impact.
Software Engineer
Illinois Institute of Technology
Education
Master's in Computer Science from Illinois Institute of Technology
Experience
2+ years in software engineering and AI development
Expertise
Agentic AI systems, RAG pipelines, backend engineering, and cloud-based automation
Specialization
Python development, REST API design, data orchestration, and intelligent workflow integrations
Technical Expertise
Comprehensive skill set spanning AI/ML development, cloud technologies, and modern software engineering practices.
Programming & Scripting Languages
AI, Machine Learning & Automation
Cloud Platforms, Databases & Data Engineering
APIs, Integrations & Backend Tools
Frameworks, Development Practices & Engineering Skills
Visualization, Collaboration & Developer Tools
Deployment & Hosting Platforms
Other Technical Competencies
Professional Journey
Building innovative AI solutions across diverse industries and research environments
Software Engineer
- >Engineered Agentic AI agents with RAG pipelines for automated reasoning and business workflows
- >Built a guest concierge AI agent, integrating frontend apps, n8n workflows, and backend databases
- >Built a vendor-matching agent simulating Q2C workflows, applying distributed ETL and data integrity checks
- >Automated data flows and integrations across APIs and cloud systems, ensuring fault-tolerance and scalability
- >Applied access control principles and data validation to ensure secure and accurate reporting pipelines
- >Debugged and optimized Python scripts across workflows, reducing execution errors by 20%
- >Explored LLM APIs (OpenAI, Hugging Face) by testing simple Python-based integrations for internal learning
Research Assistant
- >Graded assignments and provided constructive feedback on user experience (UX) principles and design methodologies
- >Led recitation sessions to reinforce key concepts and foster engaging discussions among students
- >Supported students in applying human-centered design principles to real-world projects, enhancing their practical skills
Software Engineer
- >Automated backend pipelines using Python + SQL to consolidate and validate large datasets
- >Configured and tested REST APIs with Postman & Swagger, ensuring reliable system integrations
- >Integrated AWS (S3, Redshift) with backend workflows, increasing scalability of reporting systems
- >Worked with QA teams to implement data integrity checks and access controls
- >Participated in Agile sprints, contributing to design discussions on workflow configuration and integrations
- >Assisted with Tableau dashboards for system performance and telemetry-driven insights
Junior Software Engineer
- >Developed Python pipelines to process 1M+ survey records, improving data accuracy and reliability
- >Optimized backend workflows, reducing update cycles by 40% and delivering insights faster to stakeholders
- >Designed Tableau dashboards visualizing provider engagement, survey outcomes, and participation trends
- >Conducted participation trend analysis across surveys, uncovering patterns that guided data driven strategies
Python Developer Intern
- >Built Python scripts to automate reporting and validation, reducing manual work by 30%
- >Designed a basic employee tracking system (Python + SQL) managing 200+ records with accuracy
- >Developed a lightweight dashboard prototype (HTML + Python + SQL) for weekly reporting
- >Boosted DB performance by 60% via SQL optimization and team collaboration
Career Progression
Featured Projects
Call Center Analytics Dashboard
A full-stack AI-powered dashboard analyzing 451 call center interactions using TypeScript, Express, React, and Gemini 2.5. Includes heuristic analysis, LLM insights, revenue modeling, pattern mining, funnels, and automated coaching recommendations. Completely built using Cursor for efficient development and AI-assisted coding.
Technologies Used
RAG-Based Chatbot with AgentCore
Developed a custom RAG chatbot using AWS Bedrock and AgentCore, enabling domain-specific Q&A over ingested PDFs and text files. Built document-embedding pipelines and retrieval logic to deliver accurate, context-aware responses based on the knowledge base. Integrated the chatbot with a Python interface to support real-time agent invocation and scalable reasoning workflows.
Technologies Used
AI Guest Concierge Agent
Built an AI concierge agent that answers guest queries, retrieves event/vendor information, and automates end-to-end workflows. Implemented a RAG pipeline using Pinecone + Supabase to improve context accuracy and reduce manual support load. Integrated frontend components with backend APIs to enable seamless real-time interaction and task automation.
Technologies Used
Real-Time Hand Sign Detection System
Developed a real-time gesture recognition system capable of detecting 36 hand signs with over 90% accuracy. Combined MediaPipe hand landmark extraction with a TensorFlow classifier for fast and reliable inference. Designed a modular, optimized pipeline supporting efficient retraining, tuning, and deployment.
Technologies Used
Traffic Management System (CLI Analytics Tool)
Built a Python + SQL CLI analytics tool to generate insights from traffic incident, vehicle, road, and signal datasets. Designed normalized relational schemas and modular, query-driven workflows to analyze violation density, coverage gaps, and route-level throughput. Delivered a scalable analytics framework for efficient trend detection and data-driven insights.
Technologies Used
Academic Background
Strong academic foundation in computer science with specialized focus on AI and machine learning
Master's in Computer Science
Master'sKey Coursework
Advanced graduate program focusing on artificial intelligence, machine learning, and software systems. Currently working on research in user-centered AI design and usability testing.
Academic Highlights
Master's in Computer Science
Advanced coursework in AI/ML, Data Structures, and Software Engineering
Research Focus
User-Centered Design and AI Usability Research
Academic Excellence
Strong foundation in computer science fundamentals
Bachelor of Engineering
Bachelor'sFoundation Studies
Comprehensive undergraduate program providing strong foundation in computer science principles, programming languages, and software development methodologies.
Leadership Experience
OPTICA Student Chapter President
PresidentSt. Joseph's College Of Engineering
Aug 2022 - May 2023
Key Achievements:
- •Led 150 active members with 10-member core leadership team
- •Organized hackathons, symposiums, guest lectures, and seminars
- •Introduced coding challenges and design sprints
- •Increased chapter participation by 30%
- •Delivered technical seminars and collaborated with industry experts
- •Created meaningful learning opportunities for peers
Let's Connect
I'm always interested in discussing new opportunities, AI projects, or potential collaborations. Feel free to reach out!
Contact Information
Availability
Monday - Friday
9:00 AM - 6:00 PM CST
Weekend
Available for urgent matters
Usually responds within 24hrs
Send me a message
Have a project in mind? Let's discuss how we can work together.