Hello, I'm Pranav Kuchibhotla
GenAI Developer, NLP, Agentic Systems | Data Scientist
Building intelligent systems and extracting insights from data to solve real-world problems. Currently pursuing a B.S. in Artificial Intelligence at Illinois Institute of Technology.
Chicago, IL
About Me
Hey, I'm Pranav
I’m currently studying Artificial Intelligence at Illinois Tech, with a minor in Data Science. I got into tech because I was curious about how machines learn, and now I’m building stuff that tries to answer that question in real, useful ways.
I’ve worked on all kinds of projects: mapping lead contamination across Chicago neighborhoods, extracting structured job data using transformers, building an AI tool that audits hallucinations in LLMs, and even making a sports win predictor just for fun. If it involves AI, data, or something cool to visualize; I’m probably into it.
Outside of that, I’m a Teaching Assistant for a few CS courses. Helping others learn programming has honestly made me a better coder myself, and it’s fun explaining tricky stuff in a way that actually makes sense.
These days I’m exploring new tools, chasing weird ideas, and looking for projects where I can build things that matter (and maybe learn something unexpected along the way).
Want to know more about my experience?
Download my resume for a detailed overview of my skills and experience.
Download ResumeSkills & Expertise
My technical toolkit spans multiple domains, allowing me to approach problems from different angles and implement comprehensive solutions.
Categories
Skill Map: AI & Machine Learning
My Work
Featured Projects
Explore my portfolio of projects spanning machine learning, data science, and software development. Each project demonstrates my technical skills and problem-solving approach.
82 Below – Lead Contamination Mapping
Presented at IPRO Innovation at 2025Mapped 400K+ lead lines in Chicago to uncover seasonal risk patterns and prioritize equitable replacements.
Key Features:
- Analyzed 400,000+ service line records and 5 years of lead test data from Chicago’s water system.
- Used Getis-Ord Gi* spatial statistics to detect high-risk hotspots (e.g., Englewood, Austin) and assess spatial clustering.
- Created animated rolling 90th percentile maps and temperature-linked boxplots showing seasonal peaks in contamination.
- Built a risk prioritization model combining social cost (ADI, under-5 population) and likelihood of lead exposure.
- Validated seasonal spikes using bootstrapped confidence intervals and permutation testing (p < 0.001).
- Developed a React-based public lookup tool with neighborhood-level risk estimates for community awareness.
Work Experience
My professional journey that has shaped my skills and expertise in AI, machine learning, and data science.
Teaching Assistant
Guide undergrads through foundational and intermediate Java programming, lead weekly labs, host office hours, and support CS 100, CS 115 & CS 116.
AI Engineer Intern
Integrated LLMs with retrieval and tool calls to draft tickets and emails from approved sources, added guardrails with human review on low confidence, and tuned orchestration for groundedness, latency, and cost.
Machine Learning Research Assistant
Supported a research team working on early-frame detection in MRI scans using U-Net architectures. Observed model training in PyTorch and learned about segmentation workflows in medical imaging.
Software Developer Intern
Built interactive Python dashboards to surface trends in music-streaming data; designed and documented an Agile workflow for long-term maintainability.
UI/UX Designer
Designed and prototyped frontend features for an internal platform using Figma, collaborating directly with JPMC engineers. Participated in weekly Agile sprints focused on iterative UI design, implementation, and testing across cross-functional teams.
Education
My academic journey and educational background that have provided me with a strong foundation in AI and data science.
B.S. in Artificial Intelligence
Dean’s List for six consecutive semesters. Recipient of the International Merit Scholarship for academic excellence.
Senior Secondary (Math, Physics, Chemistry)
Scored 963/1000 in Telangana State Board Exams. Earned a full merit scholarship from FIITJEE for academic excellence.
Secondary School Certificate (CBSE)
Scored 94.2% in CBSE 10th Board Exams. NSTSE medalist and school basketball gold medalist.
Certifications
Professional certifications and achievements that demonstrate my commitment to continuous learning and skill development.
IBM Machine Learning Specialization
IBM
Issued: July 2025
Machine Learning I
Columbia+
Issued: August 2025
Deep Learning and Reinforcement Learning
IBM
Issued: July 2025
NASA Space Apps Chicago 2025 — Galactic Problem Solver
NASA International Space Apps
Issued: October 2025
LangChain for LLM Application Development
DeepLearning.AI
Issued: June 2025
Testimonials
What colleagues and mentors have to say about working with me.
"As a teaching assistant, Pranav demonstrated excellent communication skills and a deep understanding of programming concepts. Students consistently praised his ability to explain complex topics clearly."
Get In Touch
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!
Contact Information
Phone
+1 (312) 450-9214GitHub
github.com/Pranav-here