VJ Sojitra
@vjsojitra
I build production agentic AI, LLM, and machine learning systems that deliver measurable enterprise outcomes.
United StatesWhat I'm looking for
I've built production AI systems for FedEx, HNTB Corporation, Capital One, Home Depot, and Crown Equipment Corporation, translating operational bottlenecks into scalable technical solutions.
At FedEx, I architected orchestrator-executor multi-agent systems with LangChain and Semantic Kernel, built MLflow-based LLM evaluation frameworks, and designed hybrid RAG systems with citation enforcement. My work supported approximately 80% adoption of Natural Language-to-SQL pipelines and reduced fabricated outputs to near-zero.
At HNTB, I developed Python and OpenCV workflows for intelligent document processing that reduced manual data entry by 70%, while contributing to $2M in new contract wins through technical discovery and solution scoping. I also built LLM pipelines that reduced decision-making time by 60% and established MLOps pipelines processing 2TB daily.
I've delivered compliance-aware ML platforms, predictive maintenance systems, and large-scale data pipelines across financial services, retail, and manufacturing. I bring hands-on experience in agentic AI, RAG, computer vision, cloud architecture, model governance, and communicating technical trade-offs and ROI to executives.
Experience
Work history, roles, and key accomplishments
Partnered with business leadership to define technical roadmaps for agentic AI adoption, architected multi-agent systems, and built LLM evaluation frameworks to reduce fabricated outputs.
Built production OCR and intelligent document processing pipelines, integrated LLM pipelines to reduce decision-making time, and established enterprise MLOps pipelines processing 2TB daily.
Built an early agentic AI system prototype for real-time anomaly detection, architected PySpark ETL pipelines, and created an MLflow experiment-tracking system managing 200+ model versions.
Designed A/B testing frameworks for model-driven recommendations and conducted unit testing and validation for XGBoost and LightGBM models, reducing false-positive rates by 22%.
Architected predictive maintenance systems using Azure and IoT sensor data, reducing equipment downtime by 60% across 50+ manufacturing sites and driving $1 million in additional service revenue.
Data Analyst
Evolvalytics
Jan 2015 - Dec 2017 (2 years 11 months)
Applied advanced statistical analysis and ML algorithms in Python and R for inventory analytics, and collaborated with IT teams to deploy Snowflake-based data pipelines.
Data Analyst
PRM Fincon
Jan 2015 - Dec 2015 (11 months)
Applied advanced statistical analysis and ML algorithms in Python and R for inventory analytics.
Data Analyst
HDFC Bank
Jan 2014 - Dec 2014 (11 months)
Built credit-risk classification models using scikit-learn, increasing risk prediction accuracy by 20%.
Data Analyst
Ugam Solutions
Jan 2011 - Dec 2012 (1 year 11 months)
Streamlined reporting processes by automating data workflows, reducing manual labor by 40%.
Education
Degrees, certifications, and relevant coursework
Florida State University
Master of Science, Statistical Data Science
Grade: 4/4
Master of Science in Statistical Data Science with a 4.0 GPA.
Sardar Patel University
Master of Science, Statistics
Grade: 4/4
Master of Science in Statistics with a 4.0 GPA.
Availability
Location
United StatesAuthorized to work in
Social media
Job categories
Skills
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