---
title: "Vishwas Prabhakara - Project Assistant in Greater Bengaluru Area | Tal"
description: "Meet Vishwas Prabhakara, Machine Learning Engineer @ IISc | Forecasting & Applied AI for Environmental Systems | Python, Time Series, GCP based in Greater Bengaluru Area. AI stack includes claude, codex, and gemini. Explore public work links including github and vishwasprabhakara.github.io."
image: "https://tal.club/meet/vishwas-p/share-image"
---

# Vishwas Prabhakara on Tal

## Headline

Machine Learning Engineer @ IISc \| Forecasting & Applied AI for Environmental Systems \| Python, Time Series, GCP

## About

I build machine learning systems where the data is messy, the stakes are real, and the model has to work outside a notebook\. 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗪𝗼𝗿𝗸 At the Centre for Sustainable Technologies, IISc, I work on groundwater monitoring and forecasting for Bengaluru in collaboration with BWSSB\. My work includes ward\-level forecasting across 100\+ Bengaluru wards, 6\-month forecast horizons, climate and urban feature engineering, and model evaluation for operational decision support\. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 • 𝗚𝗿𝗼𝘂𝗻𝗱𝘄𝗮𝘁𝗲𝗿 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴: Time\-series and geospatial ML for Bengaluru groundwater planning • 𝗦𝘂𝘁𝗿𝗮: Multi\-agent AI chief\-of\-staff deployed on Google Cloud Run • 𝗗𝗮𝘁𝗮𝗟𝗲𝗻𝘀: Natural\-language database assistant with validated SQL generation • 𝗣𝗮𝗽𝗲𝗿𝗟𝗲𝗻𝘀: Hybrid RAG over PDFs with retrieval, reranking, and citations 𝗖𝗼𝗿𝗲 𝗦𝘁𝗮𝗰𝗸 Python, scikit\-learn, pandas, FastAPI, Streamlit, SQL, GCP, Cloud Run, Gemini, LangChain, FAISS, BM25, React, TypeScript 𝗢𝗽𝗲𝗻 𝘁𝗼 ML Engineer, Applied AI Engineer, and Data Scientist roles in Bengaluru, Hyderabad, Chennai, or remote GitHub: github\.com/VishwasPrabhakara Email: vp14032001@gmail\.com

## Location

Greater Bengaluru Area

## AI stack

claude

codex

gemini

github copilot

hugging face

langchain

## Work experience

Project Assistant at Indian Institute of Science \(IISc\), Oct 2025 \- Present · 1 yr 1 mo, • Lead ML forecasting work for Bengaluru groundwater planning, building ward\-level groundwater prediction pipelines across 100\+ wards with forecast horizons up to 6 months\. • Improved model performance through feature engineering, lag analysis, climate and urban variable integration, and two\-stage feature selection using Pearson correlation and mutual information; achieved ward\-level R² up to 0\.9 in validation\. • Built end\-to\-end ML workflows in Python: data preprocessing, feature extraction, model training, evaluation, reproducibility checks, and visualization for research and stakeholder\-facing analysis\. • Translated city\-government requirements from the IISc × BWSSB collaboration into practical ML deliverables for operational groundwater decision support\. • Presented AI/ML groundwater research at IISc Open Day 2025 to visitors from academic, government, and public\-sector backgrounds\.

Google Cloud Gen AI Academy APAC 2026 — Cohort 1 at Google Cloud Gen AI Academy APAC \- 2026, Apr 2026 \- May 2026 · 2 mos, India, Selected for Google Cloud Gen AI Academy APAC 2026, Cohort 1, focused on building production\-oriented GenAI applications with Gemini, Google Cloud, and cloud\-native deployment workflows\. Built Sutra, a six\-agent AI chief\-of\-staff system orchestrated through Gemini function calling and deployed on Google Cloud Run\. • Designed multi\-agent workflows with structured tool orchestration and human\-in\-the\-loop confirmation • Built a FastAPI backend with SQLite persistence and a React \+ TypeScript frontend • Implemented real\-time execution traces using Server\-Sent Events for transparent agent behavior • Managed cloud deployment, architecture documentation, project demo, and technical pitch

Project Intern \- AIML at Indian Institute of Science \(IISc\), Oct 2024 \- Sep 2025 · 1 yr, • Built the first version of the ward\-wise groundwater forecasting pipeline at IISc CST, combining hydrology, climate, and geospatial datasets for Bengaluru groundwater\-level prediction\. • Prototyped ensemble ML models, engineered time\-series features, and evaluated model behavior across ward\-level variability and forecast horizons\. • Contributed to a computer\-vision pipeline for microplastic detection from µ\-FTIR imagery in an IISc–University of Cologne collaboration, using classical CV methods for particle and fiber extraction\. • Worked with PhD scholars and senior researchers on research\-grade ML workflows, data validation, and scientific reporting\.

Machine Learning Intern at Varcons technologies, Mar 2022 \- Sep 2022 · 7 mos, Bengaluru, • Worked on Lip\-to\-Speech synthesis pipelines involving audio\-visual speech reconstruction, model optimization, and inference workflow improvements\. • Built and trained machine learning models in Python and TensorFlow for client\-specific project requirements\. • Assisted with model integration and deployment workflows, including testing, debugging, and performance validation\. • Collaborated with project teams to convert experimental ML workflows into usable application components\.

## Education

Master of Engineering \- MEng, Artificial Intelligence, Manipal School of Information Sciences

Bachelor of Engineering \- BE, Computer Science, K S school of engineering and management

## Public links

- github: https://github\.com/VishwasPrabhakara
- vishwasprabhakara\.github\.io: https://vishwasprabhakara\.github\.io/

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

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