Data · Software · Engineering
Data and software engineer with four years of professional experience delivering enterprise data and migration solutions at Accenture across six countries. Now completing an M.S. in Computer Science (4.0 GPA) and building projects in data engineering and machine learning.
I build reliable systems with data. Over four years at Accenture I delivered end-to-end ETL and enterprise data migration for global clients across six countries — designing data flows, building SQL validation frameworks, and seeing projects through multiple zero-defect production go-lives. As a graduate researcher I engineered an automated pipeline processing over 1.5 billion records. I'm now completing an M.S. in Computer Science (4.0 GPA) and extending that foundation into data engineering and machine learning, applying the same focus on validated, dependable pipelines to new tools and problems.
A SQL project modeling core SAP master-data tables (MARA, MAKT, MARC, KNA1) with proper keys, then reconciling a migrated load against the original source — detecting missing records, value mismatches, and data-quality issues, the way a migration team audits a cutover.
A configuration-driven framework that profiles, cleanses, validates, and reconciles legacy data against a target SAP schema — holding back invalid records and producing a full audit trail. Built on Material Master as the example object.
End-to-end YOLOv8 inference pipeline with CLAHE lighting normalization and a threaded capture stage that decouples frame I/O from inference. Sustains ~16 FPS on CPU with stable per-frame latency, visualized with Matplotlib.
A comparative study of five LLM-based forecasting approaches — prompting, in-context learning, RAG, and LoRA / AdaLoRA fine-tuning — benchmarked on METR-LA traffic and WeatherBench Z500 datasets, including a documented negative result on retrieval reranking.
An MLOps system scoring streaming transactions in real time: Kafka ingestion, a containerized FastAPI scoring service, Airflow-orchestrated retraining with dbt feature builds, and data-drift monitoring that triggers retraining on distribution shifts.
SIU College of Agricultural Sciences · Carbondale, IL
Southern Illinois University · Carbondale, IL
Accenture · India & France
South Central Railways · DRDO · India
Southern Illinois University, Carbondale, IL · Expected May 2027
SCSVMV University, Tamil Nadu, India · 2017 – 2021