Available to hire
I am an AI Engineer and Data Scientist with 5+ years of experience building LLM-driven agents, retrieval systems, and end-to-end ML pipelines across legal, logistics, and analytics domains. I enjoy turning complex problems into scalable solutions, collaborating with cross-functional teams, and delivering production-grade systems that improve decision-making and reduce operational overhead.
Work Experience
Full Stack AI Engineer at Lem Mata, Inc
October 1, 2025 - November 17, 2025Built a comprehensive LLM Reliability Evaluation Harness by combining data mining, prompt testing, LLM-as-a-judge, and regression suites to surface failure modes and guide model improvements. Contributed to the full lifecycle development of the TED AI Agent Pipeline, refining agent reasoning, rule interpretation, and prompt alignment to maintain accurate, context-aware outputs in production.
Data Scientist (Gen AI) at Community Dreams Foundation
October 1, 2025 - October 1, 2025Developed a multi-modal Gen AI assistant integrating OCR (Tesseract), speech-to-text (Whisper), and LLMs (GPT-4) orchestrated via n8n and Crew AI, reducing donor workflow time by 45% and lowering fall-back rate from 43% to 30%. Built scalable ML Ops infrastructure with FastAPI, Docker, and GitHub Actions CI/CD, achieving 99.5% uptime and cutting deployment time from 2 days to 2 hours across Azure and GCP.
Data Scientist (Applied ML Engineer) at Rupp Pfalzgraf LLC
February 1, 2025 - February 1, 2025Built an agent-centric AI system using LangChain, GPT-4, and Selenium to automate legal data ingestion, cleaning, and modeling; coordinated multi-step tasks with prompt optimization and tool integration. Deployed scalable inference pipelines on AWS (Lambda, S3, EC2) with MLflow and real-time vector search (Pinecone) for document-grounded legal intelligence.
Data Scientist at Imaginovate, India
August 1, 2023 - August 1, 2023Designed an email intelligence system using regex and HuggingFace Transformer models (BERT, RoBERTa) to extract contract details from 1K+ daily emails, automatically flagging high-value loads and alerting stakeholders. Automated OCR and object detection via OpenCV and YOLO to extract structure, barcodes, and container IDs from freight docs and images, reducing manual data entry and improving inventory tracking. Developed PyTorch LSTM-based time-series models for demand, supply, and revenue forecasting. Optimized ETL pipelines on GCP (Python, SQL, Apache Airflow) to preprocess 5M+ logistics records, improving data integrity and accelerating delivery to ML pipelines.
Education
Master of Science in Data Science at University at Buffalo
January 11, 2030 - December 1, 2024Bachelor of Business Analytics at GITAM University
January 11, 2030 - June 1, 2021Qualifications
Industry Experience
Software & Internet, Professional Services, Media & Entertainment
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