---
title: "Suhotra Dey - Software Engineer in Bengaluru | Tal"
description: "Meet Suhotra Dey, Immediate Joiner · Software Engineer · Java · Distributed Systems · Event-Driven Architecture · Agentic RAG · LLM Pipelines · MCP · Ex-Founding Engineer @ Buildway.ai based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links including github a..."
image: "https://tal.club/meet/suhotra-dey/share-image"
---

# Suhotra Dey on Tal

## Headline

Immediate Joiner · Software Engineer · Java · Distributed Systems · Event\-Driven Architecture · Agentic RAG · LLM Pipelines · MCP · Ex\-Founding Engineer @ Buildway\.ai

## About

I build backend systems and agentic AI pipelines that ship to production\. As founding engineer at Buildway, I built aLawyer\.ai end\-to\-end — an agentic legal AI platform live across Germany, Italy, Spain, and France, serving paid customers, backed by NVIDIA Inception and Google for Startups Accelerator\. That meant owning everything from scratch: → Agentic RAG over 2\.3M\+ legal records — LlamaIndex embeddings into Weaviate, exposed as Model Context Protocol \(MCP\) tools with elicitation for citation\-grounded retrieval → Multi\-model orchestration with automatic provider fallback — primary\-model degradations route to alternates without user\-visible failure → Reliability pivot: collapsed a brittle multi\-agent pipeline \(context lost across stateless handoffs\) into one sandboxed Claude Code in E2B per conversation — killed an entire class of failures → Prod incident: Prisma connection\-pool exhaustion under parallel load — root\-caused, retuned pool \+ idle\-timeout, no downtime → SSE streaming cutting time\-to\-first\-token from 3–5s to sub\-second, with fault\-tolerant session recovery → Stripe billing with idempotent webhooks \+ 100\+ office integrations \(Google Drive, OneDrive\) Before Buildway, 22 months at Cognizant as a Java backend engineer on a global standardized English\-language testing platform: → REST APIs on the test\-center booking pipeline — endpoint design, MySQL query optimization, production incident debugging → Apache Kafka event\-driven job fanning out exam\-question payloads to a global network of test centers — producer/consumer \+ inter\-service contracts → Spring Boot microservices with Spring Cloud \(Eureka, Feign, API Gateway\), RabbitMQ with DLQs \+ retries ━━━ What I build ━━━ Backend & Distributed Systems Java · Spring Boot · Spring Cloud · Apache Kafka · RabbitMQ · PostgreSQL · MySQL · Redis · REST APIs · WebSockets · Server\-Sent Events · Event\-Driven Architecture · Distributed Systems · Microservices · Fault Tolerance · Connection Pool Tuning AI / Agentic Systems Agentic RAG · Retrieval\-Augmented Generation \(RAG\) · RAG Pipelines · Model Context Protocol \(MCP\) · Large Language Models \(LLM\) · LLM Pipelines · Prompt Engineering · Multi\-Model Orchestration · LlamaIndex · Weaviate · Vector Embeddings · LLM Observability · Langfuse · E2B · Claude Code · OpenAI · Anthropic · Generative AI Languages Java · TypeScript · JavaScript · Node\.js · Go · SQL Cloud & DevOps GCP · AWS \(EC2\) · Docker · Ubuntu Linux · CI/CD · Vercel · Stripe · Microsoft Graph API 📧 deysuhotra@gmail\.com · 🔗 github\.com/Lucifer4255 · 🌐 suhotra\-dey\.vercel\.app

## Location

Bengaluru

## AI stack

claude code

codex

cursor

mastra

mcp

PydanticAI

## Work experience

Software Engineer at Buildway, Aug 2025 \- Jun 2026 · 11 mos, Upper Austria, Austria, \- As founding engineer at Buildway , architected and shipped https://alawyer\.ai/ end\-to\-end — agentic legal AI platform live in 4 EU markets \(DE, IT, ES, FR\), backed by NVIDIA Inception and Google for Startups Accelerator\. \- Built a hybrid\-retrieval Agentic RAG pipeline over a 2\.3M\+ record legal knowledge base — LlamaIndex embeddings into Weaviate \+ custom PostgreSQL similarity function, both exposed as Model Context Protocol \(MCP\) tools for dynamic law retrieval and citation\-grounded answers\. \- Drove the platform's core architectural pivot: collapsed a brittle multi\-agent pipeline \(context lost across stateless handoffs\) into one sandboxed single agent environment in E2B per conversation — eliminating an entire class of context\-drift bugs\. \- Designed multi\-model orchestration with automatic provider fallback chains — primary\-model degradations route to alternates without user\-visible failure\. Integrated Langfuse end\-to\-end for LLM traces, evals, and per\-step debugging\. \- Engineered real\-time AI response streaming via Server\-Sent Events, cutting time\-to\-first\-token from 3–5s to sub\-second, with fault\-tolerant session recovery that resumes interrupted generations\. \- Diagnosed and resolved a production incident: Prisma connection\-pool exhaustion under parallel load — root\-caused to multiple client instances spinning up per request, applied singleton pattern to enforce a single shared client, and retuned pool size and idle\-timeout, restoring stability without downtime\. \- Integrated Stripe subscription billing with idempotent webhook handling for the full payment lifecycle \(charges, refunds, cancellations\), and built 100\+ office integrations via Google Drive \(GCP\) and OneDrive \(Microsoft Graph API\)\. \- Implemented MCP elicitation for mid\-session human\-in\-the\-loop feedback — the agent pauses, surfaces a clarifying question, and continues — enabling interactive contract analysis without session restart\.

Software Engineer at Cognizant, Sep 2022 \- Jul 2025 · 2 yrs 11 mos, India, \- Built and maintained backend services on the center\-booking pipeline of a global standardized English\-language testing platform — Spring Boot REST endpoints, service\-layer logic, and the MySQL query paths underneath\. Debugged production incidents on the live pipeline by log\-diving and tracing failures to root cause, and tuned query performance on booking data when slow paths surfaced under load across test centers worldwide\. \- Wrote an Apache Kafka event\-driven fan\-out job that distributed exam\-question payloads to test centers globally when an exam was scheduled — producer logic, consumer handlers, and the message contract between the exam\-scheduling service and downstream test\-center endpoints\. \- Owned reliability and observability work on async Apache Kafka consumers: introduced retry handling and dead\-letter routing for failure modes that were previously surfacing as opaque upstream timeouts, and tightened logging around the failure paths\. \- Built internal monitoring tools backed by tuned MySQL query paths and data aggregation, used by the team for diagnostic triage when production incidents surfaced on the booking pipeline\. \- Worked within full SDLC and Agile delivery on an enterprise Java codebase — Git, Maven, Jenkins\-managed CI/CD, and AWS EC2 deployments\. Every PR reviewed by senior engineers\.

## Education

Bachelor of Technology \- BTech, Computer Science Engineering, Academy of Technology

## Public links

- github: https://github\.com/Lucifer4255
- leetcode: https://leetcode\.com/deysuhotra

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

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