---
title: "Bismay Nayak - Founder in Bengaluru | Tal"
description: "Meet Bismay Nayak, Founder @Rola Labs | Building @TasteMap based in Bengaluru. AI stack includes antigravity, gemini, and hugging face."
image: "https://tal.club/meet/bismay-nayak/share-image"
---

# Bismay Nayak on Tal

## Headline

Founder @Rola Labs \| Building @TasteMap

## About

Building toward a future where physical spaces are as accessible, interactive, and adaptive as digital ones\. Interested in creating AI\-driven systems that help people navigate, connect with, and experience the real world more naturally\. Currently exploring generative AI, agentic systems, and human\-centered product experiences\.

## Location

Bengaluru

## AI stack

antigravity

gemini

hugging face

langchain

mcp

obsidian

## Work experience

Founder at TasteMap, Mar 2026 \- Present · 7 mos

Co\-founder · AI & Product Lead at Rola Labs, Apr 2025 \- Present · 1 yr 6 mos, Remote

Full Stack \| Deep Learning Engineer at platform\.ai, Apr 2020 \- Aug 2024 · 4 yrs 5 mos, San Francisco, California, United States, Led end\-to\-end development of real\-world AI systems across healthcare, food\-tech, and fashion domains\. • Built scalable ML pipelines and backend infrastructure deployed on Google Cloud \(Cloud Run, Functions\) • Delivered real\-time implant detection \(85%\+ accuracy\) and food doneness classification \(90%\+ accuracy\) • Implemented self\-supervised learning \(BYOL, SimCLR\), zero\-shot search using CLIP, and generative AI \(diffusion models, U\-Net\) • Optimized infrastructure, reducing latency and server costs through GCP service migration • Mentored junior ML fellows; led research on noisy\-label training and robust loss functions • Collaborated with product and engineering teams to deliver analytics dashboards, case\-sharing flows, and user feedback loops Tools & Technologies: Python, ReactJS, PyTorch, Flask, FastAPI, GCP, Docker, Kubernetes, CI/CD

Machine Learning Fellow at Fellowship\.AI, Jan 2020 \- Mar 2020 · 3 mos, • Built a CNN\-based wound classification model trained on a dataset of 1,000\+ images \(78% accuracy\) • Led data collection, cleaning, and preprocessing to ensure class balance and image quality • Researched noise\-robust training using CoTeaching, Symmetric Cross Entropy \(SCE\), and LID\-Paced Loss • Delivered analysis and benchmarks on robust model training under weak labeling conditions Focus Areas: Deep Learning, Computer Vision, Noisy Label Learning, PyTorch, Data Preparation

## Education

Bachelor of Technology \- BTech, Computer Science, Veer Surendra Sai University Of Technology \( Formerly UCE \), Burla

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

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