Saurav – AI agent development, RAG, SQL, experts in Lemon.io

Saurav

From United States (UTC-7)flag

AI Engineer|Middle-to-senior

Saurav – AI agent development, RAG, SQL

Saurav is a middle-to-senior AI engineer with hands-on experience in agentic AI, RAG, and LLM evaluation. He demonstrates solid AI-assisted development practices, robust evaluation methodologies, and a client-focused mindset. Building on 8 years at Microsoft, Saurav excels in architecture, mentoring, and rapid learning. Communication is clear and proactive, with strengths in collaboration and adaptability.

13 years of commercial experience in
Cloud computing
Cybersecurity
Healthtech
Main technologies
AI agent development
2 years
RAG
1 year
SQL
8.5 years
OpenAI
8.5 years
Python
8.5 years
Additional skills
Typescript
AI-assisted coding
.NET
React
Microsoft Azure
C#
Cosmos
LangGraph
LangChain
LangSmith
MCP
LLM
LLM evaluation
AI benchmarking
AI system design
Distributed Systems
Azure DevOps
Azure Functions
JavaScript
AI chatbot development
AI
Angular.js
Direct hire
Possible
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Experience Highlights

Senior Engineer
Dec 2017 - Ongoing8 years 8 months
Project Overview

Microsoft's internal developer platform for accessing cloud resources to test and deploy production resources to the cloud.

Responsibilities:
  • Built a retrieval-augmented documentation assistant on Azure OpenAI and Azure AI Search over the Commerce testing team's knowledge base.
  • Owned retrieval, embeddings, and citation-grounded answers to minimize hallucination.
  • Maintained a continuously synced knowledge base supporting about 100 queries per week and reduced support tickets by about 30%.
  • Built bot-fraud prevention for Azure signup at millions-of-users scale using behavioral-telltale CAPTCHA and risk-system learning.
  • Reduced fraud by about 95%, saved about $25M per year, and retired an abused phone challenge with no regression.
  • Led a live migration of 25M transactional records to multi-region Cosmos DB using dual-write, backfill, shadow reads, and cutover.
  • Improved performance by about 50% with higher reliability.
  • Modernized an internal developer platform across global Azure, US Government, China, and sovereign clouds.
  • Deprecated a decades-old system and re-architected it for cloud scale and the AI era.
Project Tech stack:
Microsoft Azure
OpenAI
RAG
C#
.NET
SQL
Cosmos
Lead Architect
Feb 2026 - May 20263 months
Project Overview

Always-on Windows security agent — real-time monitoring, AI-powered correlation, auto-remediation, and audit modules with compliance profiles.

Responsibilities:
  • Built 33+ automated Windows audit modules targeting Firewall, Registry Hardening, Network Exposure, Defender, and System Accounts using native OS APIs.
  • Created an interactive CLI fix engine (winsentinel fix) for automated, single-command system hardening and policy enforcement.
  • Embedded local LLM inference engines (Ollama / Llama 3) to provide offline, natural-language security advice without cloud data exposure.
  • Contributed to tuning specialized Llama 3 models (WinSentinel-Llama3.2-3B) for Windows event log parsing, threat classification, and severity scoring.
  • Designed the centralized management framework allowing lightweight agents to report security posture and receive remote policy updates.
  • Built low-overhead background monitoring services that deliver native Windows toast notifications upon detecting security anomalies.
  • Authored report generators exporting security assessments into PDF, HTML, JSON, Markdown, and SARIF formats for compliance audits.
  • Developed secure, encrypted command channels enabling fleet-wide remediation and bulk security policy execution across nodes.
  • Distributed the solution as a .NET 8 global tool via NuGet (dotnet tool install), streamlining installation for sysadmins and developers.
  • Created legible, color-coded CLI scorecards and progress indicators to make complex security status instantly digestible.
Project Tech stack:
.NET
LLaMA
Windows
Software Engineer
Sep 2016 - May 20178 months
Project Overview

Customer-facing web applications in the digital-health and patient-engagement space.

Responsibilities:
  • Developed responsive, touch-first web application interfaces optimized for wall-mounted digital displays used by physicians and patients during consultations.
  • Integrated interactive 3D anatomical models (using WebGL / Canvas) enabling doctors to manipulate, annotate, and explain medical conditions dynamically.
  • Created an intuitive UI for searching and launching specialty-specific educational videos, condition overviews, and treatment guides.
  • Optimized client-side rendering, asset caching, and touch-gesture responsiveness for high-durability kiosk environments.
  • Designed secure web and mobile architectures, ensuring zero persistent Protected Health Information (PHI) exposure on public-facing exam room hardware.
  • Contributed to web management APIs that track device uptime, app health metrics, and content engagement analytics across thousands of deployed clinical screens.
Project Tech stack:
Angular.js
.NET
WebGL
Canvas
Software Developer
Sep 2014 - Sep 20162 years
Project Overview

Large-scale clinical software used by major hospital systems.

Responsibilities:
  • Developed secure data pipelines to ingest, validate, and process high-volume electronic prescriptions directly from Epic EHR and external providers via Surescripts.
  • Engineered backend services for real-time inventory tracking, lot allocation, barcode scanning, and automated fill-and-dispense verification workflows.
  • Integrated automated drug-drug, drug-allergy, and dosage check validation engines during the prescription intake and verification pipeline.
  • Built automated claim adjudication engines that interface directly with PBMs (Pharmacy Benefit Managers) for real-time copay, coverage, and insurance verification.
Project Tech stack:
.NET

Education

Computer Science & Engineering
B.Tech + M.Tech (Dual Degree)

Languages

Hindi
Advanced
Bengali
Intermediate
English
Advanced

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