vasan gr
@vasangr
I’m an AI & data engineering software engineer building scalable, reliable LLM and lakehouse platforms.
United StatesWhat I'm looking for
I’m an AI systems and data engineering software engineer with 4+ years of experience translating ambiguous stakeholder problems into scalable, reliable solutions. In my recent role, I architected an end-to-end AI Resume Intelligence Platform on Azure, delivering hybrid RAG pipelines with automated structured skill extraction across PDF, DOCX, and image formats at 95% content accuracy.
I also build production-ready systems and data foundations—LLM inference pipelines, schema validation with CI/CD, and cloud-native microservices—so releases are dependable and reproducible. Beyond AI, I’ve designed lakehouse architectures on Databricks and crafted geospatial and operational analytics data models, while earlier experience as a Senior Engineer and Research Assistant sharpened my rigor in instrumentation, reliability modeling, and data-driven decision-making.
Experience
Work history, roles, and key accomplishments
Software Engineer (AI/Data)
Quadrant Technologies
Jul 2025 - Present (10 months)
Architected an end-to-end Azure AI Resume Intelligence Platform using hybrid RAG with Qdrant and LLM orchestration, achieving 95% content accuracy across PDF, DOCX, and image-based resumes. Built FastAPI microservices and Azure DevOps CI/CD for reliable, reproducible deployments and designed a PostGIS + H3 geospatial Lakehouse with SCD Type 2 lineage tracking.
Data Analyst/Engineer
Sports Excitement
Feb 2025 - Jul 2025 (5 months)
Conducted competitive analysis across 10+ sports platforms to identify feature gaps and user experience shortcomings, informing roadmap and go-to-market prioritization for engagement features. Built automated web scraping pipelines with Python, Selenium, and Beautiful Soup and implemented PostgreSQL (Supabase) data models with SQL pipelines for user session, engagement, and ad performance analytic
Research Assistant
Texas Analog Center
Sep 2023 - Dec 2024 (1 year 3 months)
Conducted accelerated TDDB reliability testing on high-voltage isolation ICs under a UTD Texas Instruments collaboration, producing TTF datasets for Weibull parameter extraction and E-field lifetime extrapolation supporting IEC 60747 qualification efforts. Engineered Python-based ATE instrumentation pipelines using PyVISA/GPIB and performed voltage-acceleration modeling to achieve 85% prediction a
Project Analyst
Indian Institute of Technology
Jan 2022 - Nov 2022 (10 months)
Diagnosed 3+ years of unresolved faults in ABB medium-voltage Banbury drive systems using Python and MATLAB clustering on field data, isolating root causes within 6 months and reducing unplanned downtime while generating $2M in annual savings. Validated EVSE designs against IEC 61851 using structured test protocols and double-pulse characterization, reducing compliance failure rate by 95% and buil
Senior Engineer (R&D)
Rane Brake Lining Ltd
Jul 2018 - Sep 2021 (3 years 2 months)
Designed interactive Power BI dashboards for equipment KPIs (MTTR, MTBF, MTTF), increasing equipment availability by 15% and accelerating data-driven decision-making. Built a Power Apps incident reporting system integrated with SharePoint and Power Automate to automate safety workflows, and improved testing asset availability from 80% to 91% by resolving 360+ complex hardware-software failures wit
Education
Degrees, certifications, and relevant coursework
The University of Texas at Dallas
Master of Science, Business Analytics & AI
2023 - 2024
Grade: GPA 3.6
Master of Science in Business Analytics & AI (Jan 2023–Dec 2024), GPA 3.6.
Anna University
Bachelor of Engineering, Electrical Engineering
2014 - 2018
Grade: GPA 3.4
B.E. in Electrical Engineering (Aug 2014–May 2018), GPA 3.4.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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