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Nikhil SainiNS
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Nikhil Saini

@nikhil-manju-saini

I’m an AI engineer transitioning from full-stack development, delivering LLM-integrated, enterprise-grade systems end to end.

India
Message

What I'm looking for

I want to build and productionize LLM-powered products end to end—combining scalable backend design with rigorous evaluation (LLM-as-judge), clean APIs, and real-world user feedback to ship safely.

I’m an AI engineer transitioning from full-stack development, with 3+ years building enterprise-grade systems and shipping LLM-integrated features in production. At Bounteous, I redesigned AskClari’s natural-language answer engine (v3) and built an offline LLM-as-judge evaluation pipeline to validate it against thousands of real, user-rated historical answers.

I also personally built and published a Chrome extension (340+ installs) using a custom-engineered GPT-4.1 prompt pipeline, and I contributed an open-source MCP (Model Context Protocol) server so LLM agents can interact with YouTube tooling. I’m AWS Certified AI Practitioner with working knowledge of Amazon Bedrock, SageMaker, RAG, and fine-tuning, backed by a strong foundation in scalable system design (DDD, microservices, and async processing with Sidekiq).

Experience

Work history, roles, and key accomplishments

Bounteous logoBO
Current

Software Engineer, Level 1

Jul 2025 - Present (1 year)

Redesigned AskClari’s v3 natural-language answer engine and built an offline LLM-as-judge evaluation pipeline to benchmark it against thousands of real, user-rated answers. Engineered backend APIs for recording and clip-sharing features and resolved production bugs across calendar-event and recording systems using Spring Boot and Node.js.

Gammastack logoGA

Solution Engineer

Gammastack

Feb 2023 - Jun 2025 (2 years 4 months)

Delivered e-commerce and order/warehouse management system features using Ruby on Rails and frontend frameworks. Built Shopify, Amazon OMS sync, returns, and cross-border shipping integrations, and designed warehouse/order lifecycle backend architecture using DDD; also implemented order-module logic, CNC delivery flow, and Google Pay via Adyen for Sephora.

Education

Degrees, certifications, and relevant coursework

SE

Sushila Devi Bansal College of Engineering

B.E./B.Tech, Computer Science & Engineering

2019 - 2023

Grade: CGPA: 7.9

B.E./B.Tech in Computer Science & Engineering at Sushila Devi Bansal College of Engineering, Indore (2019–2023), with CGPA 7.9.

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