About
Neil Bajaj
I'm the person companies call when they realize their team is spending 40 hours a week on something a script could do in 40 seconds. Based in San Diego, working mostly remote.
Before starting SersweAI, I spent a year and a half at Citrin Cooperman where I learned what enterprise automation actually looks like at scale — messy CRMs, legacy ERPs, compliance requirements, the whole thing. I built the kind of systems that don't break when someone sends a weird email at 2am.
I studied Math and Computer Science at UC San Diego with a minor in Machine Learning. I picked up 4 Microsoft certifications in 18 months because I kept getting asked to build things in the Microsoft stack and wanted to actually know what I was doing.
What I work with
Tools I reach for regularly, not things I used once in a tutorial.
Every day
Primary tools
ML / AI
Modeling & LLMs
Microsoft Stack
Enterprise tooling
Automation / Infra
RPA & deployment
Certifications
All 4 earned in 18 months while working full-time.
Azure AI Engineer Associate
Fabric Data Engineer Associate
Fabric Analytics Engineer Associate
Power BI Data Analyst Associate
Experience
Founder & AI Engineer
8+ client projects shipped. Custom CRMs, lead intelligence pipelines, RPA bots, AI chatbots. Clients in real estate, manufacturing, healthcare, franchise consulting. Most projects go from first call to production in under two weeks.
AI and Data Analyst
ContractRevBuild Solutions
--Apr 2026 - PresentAI/ML Analyst & Digital Services Consultant
Citrin Cooperman
--Oct 2024 - Apr 202632 Power Automate flows that eliminated 3-5 FTEs of manual email triage. Python/Playwright RPA checking Medicaid eligibility for 1,000+ patients/day (saved 60+ hrs/week). Microsoft Fabric pipelines with Power BI reporting across Accountmate, NetSuite, and Acumatica. Cross-sell chatbot in Copilot Studio using Azure AI Search. Automated Reddit-to-inbox lead pipeline. 4 Microsoft certs earned in 18 months.
ML Engineering Intern
Shaachi
--Sep 2023 - Dec 2023Classification models hitting 90% accuracy. AWS data extraction via BeautifulSoup + Zyte API. Improved model reliability 13% by rethinking the response variable.
Data Analyst Intern
Sutherland
--Jun 2023 - Sep 2023Text analysis on customer satisfaction surveys. Self-attention embeddings with cosine similarity clustering. Integrated OpenAI API for classification.
Supplemental Instruction Leader
UC San Diego
--Sep 2022 - Apr 2024Led SI sessions and discussion sections for Vector Calculus and Calculus II.
B.S. Mathematics & Computer Science
UC San Diego
--Sep 2020 - Jun 2024Minor in Machine Learning. Investors Club member. ILEAD certification.