---
title: "Rishabh Das - Founding Software Engineer (AI/ML) in Bengaluru | Tal"
description: "Meet Rishabh Das, Founding Engineer @ Loylty Rewardz (a BillDesk company) | Software Engineer | AI Engineer | Full Stack | Java, Spring Boot, Python, Go, React, Next.js | LLMs, RAG, AI Agents, MCP | AWS, Kubernetes based in Bengaluru. AI stack includes claude code, cursor, and deepmind. Explore pub..."
image: "https://tal.club/meet/rishabh-das/share-image"
---

# Rishabh Das on Tal

## Headline

Founding Engineer @ Loylty Rewardz \(a BillDesk company\) \| Software Engineer \| AI Engineer \| Full Stack \| Java, Spring Boot, Python, Go, React, Next\.js \| LLMs, RAG, AI Agents, MCP \| AWS, Kubernetes

## About

I’m an AI and full\-stack software engineer with 3\+ years of experience building applications across fintech, loyalty, and financial data\. I work on greenfield projects, taking products from requirements and system design through backend development, frontend implementation, and cloud deployment\. At Loylty Rewardz, my work spans applied AI, backend services, and web applications\. My AI experience includes model training and deployment with AWS SageMaker, large language models \(LLMs\), retrieval\-augmented generation \(RAG\), and applications in customer profiling, personalization, and fraud analysis\. I build backend services with Java, Spring Framework, Go and Python, alongside React and Next\.js interfaces\. My work also covers REST APIs, PostgreSQL, Redis, asynchronous messaging with Kafka and RabbitMQ, and containerized deployment using Docker and Kubernetes\. Previously, I worked on a stealth startup developing financial\-data pipelines and NLP workflows, including transformer encoder training, text chunking, and semantic retrieval\. Areas in which my core expertise lie are: • Applied AI: Large Language Models \(LLMs\), retrieval\-augmented generation \(RAG\), AI agents, Model Context Protocol \(MCP\), and tool integration\. • Backend and full\-stack engineering: Java, Spring Boot, Python, React, JavaScript, REST APIs, PostgreSQL, and Redis\. • Cloud and reliability: AWS, Docker, Kubernetes, CI/CD, and application observability using tools like Grafana\.

## Location

Bengaluru

## AI stack

claude code

cursor

deepmind

hermes agent

hugging face

mcp

## Work experience

Founding Software Engineer \(AI/ML\) at Loylty Rewardz, Nov 2025 \- Present · 11 mos, Bengaluru, Karnataka, India, Building AI applications and supporting backend services for rewards and loyalty workflows, spanning agent orchestration, enterprise integrations, React interfaces, and cloud delivery\. • Built Java/Spring Boot agent orchestration with tool calling, conversation state, execution limits, retries, and timeouts to coordinate multi\-step workflows and handle integration failures\. Built APIs that can handle up to 10k RPS \(requests per second\) • Integrated AWS Bedrock and OpenAI model providers with structured tool calls and execution tracing\. • Developed a conversational rewards agent combining retrieval\-augmented generation \(RAG\) with Model Context Protocol \(MCP\) tools to retrieve offers, validate points and voucher balances, compare rates, and support purchase workflows\. Also setup evaluations using DeepEval\. • Developed React interfaces for conversational workflows and internal operations, including streamed agent progress and views for inspecting execution traces\. • Worked on containerized delivery and operational visibility using AWS, Docker, Kubernetes, CI/CD, LangSmith, Kibana, and Grafana\.

Founder \(Technical\) at Stealth Startup, Sep 2023 \- Oct 2025 · 2 yrs 2 mos, Built a financial\-data platform combining news and market data for investment research and decision support\. Built a proprietary diffusion model to combine the multiple datasets and generate benchmarks\. • Developed Python data pipelines to ingest and time\-align financial news and numerical market data from external APIs\. • Trained financial\-domain transformer encoders using AWS SageMaker and developed financial\-text chunking and retrieval workflows\. • Combined text representations with price, volume, and market features to explore relationships between news and market behavior\. • Built backend APIs to make processed financial data and research outputs available to applications\. • Amongst top 10% applicants \- YCombinator S24

Product Development Intern at LC Adroit Vantage, Jan 2023 \- May 2023 · 5 mos, Bengaluru, Karnataka, India, • Developed a full\-stack market\-intelligence dashboard for the investment team using React and Python\. • Integrated various market data and financial indicators to enhance investment research capabilities\. • Created data\-processing workflows utilizing Pandas, NumPy, scikit\-learn, and PyTorch for analytical tasks\.

SDE Intern at Predlabs, Jun 2022 \- Jul 2022 · 2 mos, Bengaluru, Karnataka, India, • Developed a service marketplace using React, JavaScript, and Firebase, building component\-based interfaces for service discovery and purchase workflows\. • Built a React administration dashboard connected to backend services for managing marketplace data and platform operations\. • Carried out data sanitation tasks such as data cleaning, normalization, and consistency checks on MySQL datasets to prepare data for application use\. • Used Google Analytics to analyze website traffic and engagement across the marketplace\.

Web Exploitation Member at Cryptonite, Sep 2020 \- Sep 2022 · 2 yrs 1 mo, Manipal, • Contributed as a Web Exploitation member in various CTF events, achieving a top 8 ranking in India on CTFTime\. • Developed the first official team website, enhancing the team's online presence\. • Organized NiteCTF and provided mentorship to junior members in web security and exploitation techniques\.

## Education

Bachelor of Technology \- BTech, Electrical and Electronics Engineering, Manipal institute of technology

## Public links

- github: https://github\.com/rishabhdas9

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

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