---
title: "Apoorv Shrivastava - AI Engineer in India | Tal"
description: "Meet Apoorv Shrivastava, AI Engineer | Full Stack Engineer | Python (FastAPI/Django) · Distributed Systems · PostgreSQL · AWS · Docker | Scalable APIs & Async Workflows | LLM Applications (RAG, Agent workflows, n8n) based in India. AI stack includes hugging face, langchain, and langgraph. Explore p..."
image: "https://tal.club/meet/apoorv-shrivastava/share-image"
---

# Apoorv Shrivastava on Tal

## Headline

AI Engineer \| Full Stack Engineer \| Python \(FastAPI/Django\) · Distributed Systems · PostgreSQL · AWS · Docker \| Scalable APIs & Async Workflows \| LLM Applications \(RAG, Agent workflows, n8n\)

## About

I’m a Software Engineer focused on building reliable backend systems and production\-grade AI application workflows\. At Eli Lilly, I worked on end\-to\-end system development—from API design and data modeling to deployment and production monitoring—while integrating LLM\-driven workflows into enterprise systems\. My core focus is backend reliability and distributed workflows: designing modular APIs, modeling relational data, building async services, and implementing concurrency\-safe transactional workflows that real production systems depend on\. Recently I’ve been building LLM application workflows and orchestration systems, including RAG pipelines, embeddings, document chunking, vector search, and tool\-based agent workflows \(LangGraph\), integrating them into production systems with emphasis on evaluation, reliability, and predictable API behavior rather than prompt\-only experimentation\. What I work on: • Backend Engineering — Python \(FastAPI / Django\), PostgreSQL, async services, distributed workflows, modular API design • Full\-Stack Development — React, Next\.js, Vue, TypeScript, Zustand, React Query • LLM Application Engineering — RAG pipelines, embeddings, vector search, agent workflows \(LangGraph\) • Cloud & DevOps — AWS \(Lambda, API Gateway, S3\), Docker, ECS Fargate, CI/CD with GitHub Actions Open to backend engineering, backend\-leaning full\-stack, and applied AI / LLM engineering roles in product\-focused and remote\-friendly teams\. Portfolio: https://apoorv\-x12\.github\.io/portfolio/

## Location

India

## AI stack

hugging face

langchain

langgraph

mcp

n8n

Synthesia

## Work experience

AI Engineer at Outlier, Apr 2026 \- Jul 2026 · 4 mos, Remote, Selected for Outlier’s Managed Workforce \(MWF\) Program and the INQA India program, contributing to large language model \(LLM\) evaluation and alignment through structured human feedback\. Key contributions: \- Evaluated and ranked LLM\-generated responses for correctness, factual accuracy, reasoning quality, relevance, safety, and instruction adherence\. \- Designed and refined prompts to test model behavior across diverse scenarios, edge cases, and failure modes\. \- Identified hallucinations, logical inconsistencies, unsupported claims, instruction\-following failures, and policy/safety issues\. \- Provided structured feedback and comparative judgments to support the improvement of generative AI systems\. \- Applied analytical reasoning and domain\-specific evaluation criteria to assess the quality of model outputs\. \- Contributed high\-quality human evaluation data used in LLM improvement and alignment workflows\. Skills: LLM Evaluation · Generative AI · RLHF · AI Alignment · Prompt Engineering · Prompt Design · AI Quality Assurance · Human Feedback · Analytical Reasoning

Health and well\-being at Career Break, Feb 2026 \- Mar 2026 · 2 mos

Software Engineer at Eli Lilly and Company, Jul 2023 \- Jan 2026 · 2 yrs 7 mos, Bengaluru, • Owned end\-to\-end distributed backend services using FastAPI, from API design and data modeling to deployment and monitoring, supporting internal products used by multiple teams\. • Designed concurrency\-safe event\-driven workflows, explicitly reasoning about request isolation, retries, and failure handling in multi\-step async systems\. • Optimized PostgreSQL queries \(joins, batching, indexing\) for large datasets \(millions of rows\), reducing backend latency by \~30–40%\. • Diagnosed and resolved production issues involving timeouts, partial failures, and inconsistent data using logs, metrics, and careful system reasoning\. • Deployed and operated cloud\-native services using Docker and AWS \(ECS Fargate, Lambda \[Python, Node\.js\], API Gateway, S3\) with CI/CD via GitHub Actions and monitoring through CloudWatch\. • Integrated LLM\-backed workflows \(RAG, embeddings, vector search, LangGraph\) into backend systems with emphasis on predictable APIs, evaluation, and reliability, not prompt\-only experimentation\. • Built complex React/Vue interfaces \(dashboards, multi\-step forms, graph\- and flow\-based UIs\), managing client\-side and server\-side state for REST, async, and AI\-driven workflows, and reducing end\-to\-end load times by \~25–30% while keeping backend contracts and data integrity central\. • Made deliberate design tradeoffs between sync and async processing to balance latency, throughput, and reliability under burst traffic\.

Full Stack Engineer at SmartInternz, Apr 2022 \- Jul 2022 · 4 mos, Remote, • Mastered Agile Full\-Stack Web Development using Java and the Spring Boot framework, improving project delivery speed by 20%\. • Implemented the MVC model and developed REST APIs, optimizing backend response times by 30%\. • Designed and deployed a Nutrition App with a monolithic Spring Boot backend and a separate frontend, integrating MySQL for data persistence\.

Augmented Reality Software Engineer at mirrAR, Feb 2022 \- Apr 2022 · 3 mos, Remote

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Vellore Institute of Technology

## Public links

- apoorv\-x12\.github\.io: https://apoorv\-x12\.github\.io/portfolio/

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

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