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

Upper Austria, Austria

India







Bachelor of Technology - BTech, Computer Science Engineering
Academy of Technology
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Download Tal BossImmediate Joiner · Software Engineer · Java · Distributed Systems · Event-Driven Architecture · Agentic RAG · LLM Pipelines · MCP · Ex-Founding Engineer @ Buildway.ai
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
Bengaluru
claude code
codex
cursor
mastra
mcp
PydanticAI
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.
Bachelor of Technology - BTech, Computer Science Engineering, Academy of Technology
github: https://github.com/Lucifer4255
leetcode: https://leetcode.com/deysuhotra