---
title: "Yashwanth Ponnam - Data Science Intern in Kakinada | Tal"
description: "Meet Yashwanth Ponnam, Data Scientist & AI Engineer | Responsible & Explainable AI (XAI) | Cloud-Native ML (GCP Cloud Run, AWS, OCI) | Code Vipassana Top 10 Developer based in Kakinada. Explore public work links including github."
image: "https://tal.club/meet/yashwanth-ponnam/share-image"
---

# 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

## Location

Kakinada

## 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

[View the original profile](https://tal.club/meet/yashwanth-ponnam)

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