Open to opportunities

Neil Alex

@neilalex

Message

Senior AI/ML engineer building production-grade multimodal ML systems across healthcare, RAG, and enterprise analytics.

India

Message

What I'm looking for

I’m looking to build production-grade AI/ML systems that translate multimodal and research-grade ideas into scalable pipelines—working closely with stakeholders and delivering real outcomes in healthcare, analytics, and enterprise data environments.

I’m a Senior AI/ML & Full-Stack Engineer with 11 years of experience, bridging advanced machine learning development, clinical simulation modeling, and enterprise data architecture. I translate complex scientific and business requirements into production systems spanning medical device computer vision, large-scale RAG pipelines, and financial analytics.

I’ve led cross-functional engineering efforts to transfer experimental computer vision models into production environments, including real-time surgical tracking work and rigorous precision/recall evaluation frameworks. I also build agentic retrieval and archival search platforms using FAISS-based vector indexing and FastAPI endpoint layers to maximize relevance and factual grounding.

Across research and engineering, I design end-to-end ML data ingestion, OCR-to-metadata pipelines, and digital-twin reinforcement learning simulation workflows for clinical collaborators. I’m equally comfortable partnering with academic and institutional stakeholders and deploying across both cloud and on-premise environments.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

CloudMojo Tech Pvt. Ltd.

Aug 2025 - Present (11 months)

Co-developed patent-pending medical tracking AI using SAM3 and U-Net architectures, including FAISS-based local vector indexing for 250,000+ documents. Led cross-functional efforts to transfer experimental computer vision models into production environments.

Computer Vision U Net Faiss Production Machine Learning

Research Scientist

Center for Diabetes Technology, UVA School of Medicine

Aug 2024 - Oct 2025 (1 year 2 months)

Architected reinforcement learning systems for adaptive insulin delivery based on subject habits. Processed large clinical trial datasets using Pandas with feature engineering and data validation, and presented model trade-offs to medical cohorts.

Reinforcement Learning Adaptive Insulin Delivery Pandas Feature Engineering Data Validation

Research Scientist & Software Developer

Biocomplexity Institute & Initiative, UVA

Jun 2019 - Aug 2024 (5 years 2 months)

Built custom Python and Django platforms to support concurrent research operations. Engineered BERT-based text classification pipelines for large-scale pattern measurement across text corpora, and partnered with federal agencies including USDA while leading and mentoring summer data science cohorts.

Python Django BERT Data Strategy Mentor

Data Scientist

Secure Identity Ledger Corp.

Oct 2017 - Jun 2019 (1 year 8 months)

Designed live data extraction tools and trading dashboards using the MEAN stack and Python. Developed custom scrapers and text analytics scripts to map market sentiment and built integration libraries interacting with blockchain nodes.

Python MEAN stack Data Extraction Web Scraping Text Analytics Sentiment Analysis