Hi, I'm Munazzah Rakhangi
AI Engineer
Building LLM-powered and agentic AI systems, full-stack platforms, and production ML pipelines for legal tech, healthcare, and e‑commerce.
About Me
I’ve spent the last couple of years building ML systems, LLM-powered apps, and data pipelines—and I still get a kick out of seeing something go from idea to production.
These days I’m deep in agentic AI and full-stack: Python, PyTorch, FastAPI, React. I’ve led small teams and shipped AI in legal tech, healthcare, and e‑commerce. What I care about most is building things that are reliable, useful, and actually solve a problem—not just technically impressive.
Machine Learning & AI
I love turning messy data into models that actually work—whether it’s prediction, NLP, or computer vision. PyTorch and scikit-learn are my go-tos, and I care about shipping things that hold up in production.
Agentic AI & LLMs
RAG, multi-agent workflows, and LLM orchestration are where I spend a lot of my time now. I’ve been building agentic systems for legal intake and automation—tool-calling, structured outputs, and workflows that run on their own.
Full Stack & Data
From React and FastAPI to PostgreSQL and AWS—I’m comfortable across the stack. I like owning the whole pipeline: ETL, APIs, and deployment, so the thing actually runs and stays up.
Leading & Shipping
I’ve led small engineering teams and shipped AI systems in legal tech, healthcare, and e‑commerce. For me it’s about clear communication, reliability, and making sure what we build actually helps people.
Experience
My professional journey and key accomplishments
AI/ML Engineer
ReferU.AI
- Developing agentic AI legal intake system using LLM workflows and tool-calling to automate client screening, data extraction, and structured case intake
- Architecting multi-agent pipelines for document analysis, case classification, and attorney matching using Python, FastAPI, and LLM orchestration
- Building production AI services integrating LLM APIs and structured outputs to automate legal workflows and reduce manual case processing
Software Engineer Intern
Prox Shopping
- Architected NLP pipeline using OpenAI APIs to convert 50+ weekly retailer flyers into structured JSON datasets with 95%extraction accuracy.
- Built scalable Python web scraping and distributed task system automating flyer ingestion and reducing manual data collection by 80%.
- Designed ETL pipelines and PostgreSQL/Supabase backend enabling centralized data storage and automated email deliverywith 99.5% uptime
Team Lead and Full stack developer
Open Source with SLU
- Architect end-to-end system design across frontend, backend, API, and ML modules
- Engineer React.js frontend with Tailwind CSS and multi-language support using react-i18next
- Design FastAPI/Node.js backend with PostgreSQL and JWT authentication for secure user management
- Direct API integration and establish GitHub workflows (branching, PRs, code reviews, CI)
- Collaborate on ML modules (Heart Risk Prediction, Prescription Detection) for predictive analytics integration
Data Analyst
Excelerate Data Visualization Internship
- Analyzed Facebook ad campaigns using Google Sheets, Power BI, and Excel to uncover engagement trends
- Optimized budget allocation by evaluating campaign performance, improving efficiency by 15%
- Created interactive dashboards and reports for strategic decision-making using Power BI and Excel
Application Engineer
Newgen Software Technologies
- Enhanced SmartGBO transaction software for ICICI Bank, improving user experience using Java, JavaScript, and Apache Tomcat
- Collaborated on design and testing to boost system efficiency and reduce errors with Oracle Database and SQL
- Conducted root-cause analysis, reducing recurring defects by 20% through automated testing and debugging
- Debugged code and analyzed logs to identify and fix performance bottlenecks using JIRA and Git
Skills
My expertise and technical proficiencies
Languages & Runtimes
Frontend
Backend & APIs
Agentic AI & LLMs
ML & Data
Databases
Cloud & DevOps
Projects
A selection of my personal and Academic projects
TaskScribe – AI meeting assistant
Converts meeting transcripts and audio into structured summaries and action items with 90%+ accuracy using schema-constrained LLM outputs. Features real-time transcription, JWT and Google OAuth, PostgreSQL storage, and automated deadline reminder agents.
Predictive Analytics for County-Level Poverty in Florida
Visualized poverty and SNAP trends in 67 Florida counties, identifying a 15% poverty rise over 10 years. Built ARIMA and linear models, improving prediction accuracy by 22%.
Model Stealing Attacks on Multi-modal Model
Extracted surrogate models with 85%+ accuracy using CLIP pipelines on black-box AI systems. Found vulnerabilities in 70%+ of ResNet-18 test cases on CIFAR-10.
Warfarin Dosing Prediction Using Machine Learning
Built and tested multiple ML models (KNN, RF, SVR, FNN), improving dose prediction accuracy by 18%. Enhanced data quality and reduced errors by 25% through extensive cleaning.
Open Source Contributions
Projects I've contributed to in the open source community
TheHealthApp
A comprehensive healthcare application designed to improve patient care and streamline medical processes. Features include patient management, appointment scheduling, and health analytics.
Education
My academic background and qualifications
Master's of Science in Artificial Intelligence
Saint Louis University (Jan 2024 - Dec 2025)
Saint Louis, MO, USA
Graduated with a Master's of Science in Artificial Intelligence with a focus on machine learning, deep learning, natural language processing, and AI applications in healthcare. Gaining expertise in cutting-edge AI technologies and research methodologies that drive innovation in intelligent systems and predictive analytics.
Bachelor of Engineering in Electronics and Telecommunications
A.C Patil College of Engineering (2017 - 2021)
India
Completed undergraduate studies in Electronics and Telecommunications with a strong foundation in engineering principles, mathematics, and analytical thinking that prepared me for advanced studies in artificial intelligence and machine learning.
Get In Touch
Have a project in mind or want to discuss opportunities? I'd love to hear from you!