Yashwanth Ponnam on Tal
Headline
Data Scientist & AI Engineer | Responsible & Explainable AI (XAI) | Cloud-Native ML (GCP Cloud Run, AWS, OCI) | Code Vipassana Top 10 Developer
About
I build AI systems that explain themselves — and that accountability gap is exactly why responsible AI engineering matters. I'm a B.Tech CSE (Data Science) student at KIET, focused on one problem: what happens when an AI model makes a consequential decision that nobody can audit? Most ML work stops at model accuracy. I work on what comes after — model interpretability, AI bias mitigation, and building backend AI systems that hold up in production. That led me to FairHire-AI — an enterprise bias-detection platform using ML, Fairlearn, and SHAP that surfaces feature importance scores and generates compliance-ready AI audit reports to eliminate algorithmic fairness violations in hiring workflows. It also led to PathDiverge — a decision intelligence platform using Monte Carlo simulation to model 2,500+ career trajectories, computing long-term outcome probabilities through statistical modeling of specialization and risk variables. Both systems are deployed. FlowSync AI and Vote Saathi run on GCP Cloud Run as serverless deployments handling real-time inference at scale — not demo projects, not notebooks. Cloud-native ML with Docker, GitHub Actions, and Firebase backing the data pipeline end-to-end. Production Tech Stack * Languages & Frameworks: Python, FastAPI, Next.js * ML & Responsible AI: Scikit-learn, SHAP, Fairlearn * Cloud & DevOps: GCP (Cloud Run), Docker, AWS, OCI, Firebase, GitHub Actions Key Achievements * Ranked Top 10 & Top 40 at GDG Cloud Kochi (Code Vipassana Seasons 13 & 14) for serverless AI architectures. * Built and deployed production-grade platforms handling real-time inference at scale. I'm looking for data science, ML engineering, or AI research internship roles where building auditable, production-grade AI actually matters. Open to opportunities → yashwanthponnam55@gmail.com GitHub - Yash55-max
Work experience
Data Science Intern at Cognifyz Technologies, Jan 2026 - Feb 2026 · 2 mos, Kakinada, Andhra Pradesh, India, · Analyzed 9,500+ global restaurant records to surface patterns in customer ratings, identifying that Table Booking and Online Delivery availability correlated with measurably higher scores · Built and tuned a Random Forest Regressor achieving 95.9% R² — deployed insights as interactive heatmap dashboards for non-technical stakeholders · Identified 'Votes' as the primary predictor of restaurant success, enabling data-driven prioritization of review acquisition strategies
Python Programming Intern at VaultofCodes, Dec 2025 - Jan 2026 · 2 mos, Kakinada, Andhra Pradesh, India, Developed a Student Performance Tracker using Python to automate academic progress evaluations. Built a command-line Pet Simulator emphasizing modular code structures and object-oriented programming (OOP) principles. Utilized Git for version control and optimized backend logic to improve script execution efficiency.
Education
Bachelor of Technology, Computer Science - Data Science, Kakinada Institute of Engineering and Technology
Intermediate, MPC, Chaithanya Junior College
Public links
github: https://github.com/Yash55-max
