# Nikhil A.

> AI Engineer | LLMs, RAG, AI Agents, LangGraph | Building Production GenAI & ML Systems on AWS/Azure/GCP

Profile: https://flows.cv/nikhila2

I build AI systems that go from prototype to production — especially LLM applications, RAG pipelines, and multi-agent workflows that solve real business problems.
 
I’m an AI Engineer with 6+ years in software engineering and a strong track record of shipping backend and ML-powered systems across AWS, Azure, and GCP. My recent work has focused on production GenAI: agent orchestration with LangGraph, retrieval-augmented generation, LLM-powered assistants, and AI workflows that reduce manual effort and accelerate decision-making.
 
I bring a mix of software engineering depth + applied AI execution:

  •  Built and deployed multi-agent systems using LangGraph, including research and decision-support assistants 
  •  Developed RAG applications with vector databases, evaluation loops, and explainability-oriented workflows 
  •  Worked on LLM integrations, AI copilots, NL-to-SQL systems, and Bedrock/OpenAI-based assistants 
  •  Productionized ML and backend systems with a focus on reliability, scalability, and developer usability 
  •  Comfortable across the stack: Python, cloud infrastructure, APIs, data workflows, Kubernetes, and ML tooling.

Earlier in my career, I built large-scale systems at Amazon and improved operational efficiency through automation and performance optimization. Today, I’m focused on applying that engineering rigor to AI-native products.
 
I’m especially interested in roles where I can build:
 
  •  AI agents and agentic workflows 
  •  RAG and knowledge-intensive applications 
  •  LLM-powered copilots and internal tools 
  •  Production AI platforms that help teams ship faster
 
Open to AI Engineer / Machine Learning Engineer roles where shipping matters.

## Work Experience
### Senior Software / AI Engineer @ BlackLine
Jan 2025 | San Francisco Bay Area
Building production AI and ML systems with a focus on experimentation platforms, reusable ML infrastructure, and AI-powered tools that help teams move faster and make data workflows more accessible.

  • Built reusable AI/ML infrastructure on GCP and Snowflake, enabling teams to accelerate solution development through standardized pipelines and shared platform components
  • Designed and shipped a 0→1 ML experimentation framework, automating experiment tracking, dataset versioning, and evaluation logging to replace manual model development workflows
  • Developed a GPT-4-powered analysis tool that acts as a virtual data scientist, generating insights, visualizations, and reports for non-technical stakeholders while saving 6–8 hours of manual analysis per week
  • Productionized a forecasting solution on Microsoft Azure, partnering with Solution Architects, Product Owners, and DevOps to move it into a scalable production workflow
  • Helped establish standardized ML development practices across the organization, improving consistency, reuse, and team velocity.

### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2022 – Jan 2025 | United States
Built and improved internal AWS systems to enhance customer experience and operational efficiency, with a focus on automation, performance, and secure service delivery. Here are my key contributions:
- Led end-to-end development of secure, production-grade backend systems, owning design, implementation, testing, and rollout across high-reliability environments.
- Automated AMI security patching workflows, reducing manual operational effort by 50% and improving patching consistency across the team.
- Improved search relevance through semantic analysis experiments using LDA, contributing to better retrieval quality during ML research internship projects.

### Software Engineer - Machine Learning Intern @ Coupa Software
Jan 2022 – Jan 2022 | Cincinnati, Ohio, United States
Worked as an Intern in research for improvement of Search results, using semantic analysis by LDA.

### Senior Software Engineer @ Newgen Software
Jan 2020 – Jan 2021 | India
1. Built backend microservices for user management, access control, messaging, and reporting in an enterprise platform environment.
2. Developed various component services for user management and user access management.
3. Integrated security in microservices and developed a custom security model for access management.
4. Developed messaging systems through web services.
5. Developed reporting and statistics capturing in web services.

### System Engineer @ Infosys
Jan 2018 – Jan 2020 | India

### Summer Intern @ AdGlobal360
Jan 2017 – Jan 2017 | Gurgaon, Haryana, India
Website and UI Testing


## Education
### Master of Engineering - MEng
University of Cincinnati - College of Engineering and Applied Science

### Bachelor of Technology
G.B. Pant Govt. Engineering College


## Contact & Social
- LinkedIn: https://linkedin.com/in/nikhil-ads
- GitHub: https://github.com/Nikhil-Ads
- Portfolio: https://nik-adlakha.vercel.app/
- Portfolio: https://nik-adlakha.vercel.app
- Email: mailto:nikads833@gmail.com

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Source: https://flows.cv/nikhila2
JSON Resume: https://flows.cv/nikhila2/resume.json
Last updated: 2026-04-20