---
title: "Suyash Dubey - AI Engineer in New Delhi | Tal"
description: "Meet Suyash Dubey, SDE | ECE @ IIITD | C4GT'23 @ NHA | MERN stack Developer | ML enthusiast | Contributor at GSSOC'23 based in New Delhi. AI stack includes antigravity, claude code, and claude. Explore public work links including github and suyashdubey.com."
image: "https://tal.club/meet/suyash-dubey-1/share-image"
---

# Suyash Dubey on Tal

## Headline

SDE \| ECE @ IIITD \| C4GT'23 @ NHA \| MERN stack Developer \| ML enthusiast \| Contributor at GSSOC'23

## Location

New Delhi

## AI stack

antigravity

claude code

claude

codex

cursor

deepseek

## Work experience

AI Engineer at Great Learning, Oct 2026 \- Present · 1 mo, Gurgaon

AI Engineer at Brainwave Science, Oct 2025 \- Jun 2026 · 8 mo, Remote

SDE 2 at EMB Global, May 2025 \- Oct 2025 · 5 mo, Gurgaon

AI SDE at Asha Health \(YC F24\), Mar 2025 \- May 2025 · 2 mo, Remote

Generative AI Engineer at Mindrift, May 2024 \- Mar 2025 · 10 mo, Remote, Project: Developing LLM interfaces using AWS bedrock \(Detailed demo: https://suyashblog\.hashnode\.dev/llm\-app\-dev\-using\-aws\-bedrock\-and\-langchain\) Methodologies: created an LLM\-powered question\-answering \(QA\) application over large document corpora using AWS Bedrock and LangChain\. I handled challenges like managing large documents exceeding token limits and finding relevant documents\. The process involves loading and processing documents, creating vector embeddings with Amazon Titan, and storing them in a vector database like SingleStore\. When a question is asked to the LLM, relevant document chunks are retrieved and used as context for generating answers with models like Anthropic Claude through Amazon Bedrock, following a Retrieval\-Augmented Generation \(RAG\) approach\. Tech Stack: AWS Bedrock, AWS titan, SinglestoreDB, LLMs, RAG

Generative AI Engineer at Soul AI, Oct 2023 \- Nov 2023 · 2 mos, Remote, Experimenting with different LLMs to design a new LLM for tutoring students of all ages\. Doing prompt engineering to train an innovative AI model by providing human responses to different questions\. Engaging in research to explore the latest advancements and push the boundaries of what AI can create\. Worked to address issues like bias mitigation and responsible AI use, ensuring our creations adhere to ethical standards\.

Undergraduate Research Assistant at Indraprastha Institute of Information Technology, Delhi, Aug 2023 \- May 2024 · 10 mos, New Delhi, Delhi, India, Evaluation of the performance of hardware accelerators for implementation of Neural Networks using in\-memory computation Advisor: Dr\. Anuj Grover

Open Source Developer at Code for GovTech \(C4GT\), Jul 2023 \- Oct 2023 · 4 mos, \- Worked in a team of 4 developers along with a mentor on the backend framework of the Digital health portal of the National Health Authority\. Specifically, working on synchronizing asynchronous API workflows by creating efficient, user\-friendly interfaces and facades\. \- Implemented the feature of Subscription management flow in ABHA app, which helped automate Subscription Requests\. I emphasized developing and utilizing microservices to create a more end\-to\-end and responsive system\. \- Contributed to the UI of the app, ensuring a seamless user experience\. We heavily leveraged SOA to break down complex functionalities into smaller, manageable services, enhancing the flexibility of our system\. Using a NoSQL\-based database like mongoDB to store a mapping of different services and troubleshooting any errors to ensure high\-quality code\. \- Testing the APIs with the interfaces built to provide a seamless experience to the users and deploying changes on ABHA app with the help of ABDM team\. Helping ABDM developers to maintain the code and help in software improvement seamlessly\. \- Tech stack: Springboot, Java, gradle, NoSQL, Docker, Ngrok

Machine Learning Engineer at Omdena, Jun 2023 \- Jul 2023 · 2 mos, Remote, Omdena projects address real\-world challenges with team of 50 AI engineers who collaboratively develop real\-world solutions\. We developed a fully functional ML web app for Goe Wellness with appropriate ML models and algorithms\. It involved data collection, analysis, Activity tracking, building appropriate recommendation system etc\. Tech stack: Python, PyTorch, scikit, pandas, seaborn

## Education

Bachelor's degree, Electrical, Electronics and Communications Engineering, Indraprastha Institute of Information Technology, Delhi

High School Diploma, ISG jubail

## Public links

- github: https://github\.com/suyashdube
- suyashdubey\.com: https://suyashdubey\.com/

[View the original profile](https://tal.club/meet/suyash-dubey-1)

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