About
AI/ML Engineer with unique healthcare domain expertise, combining 2+ years of clinical data analysis with cutting-edge GenAI development. Fast learner with proven track record of transitioning from healthcare to AI/ML, mastering LLMs, RAG, LangChain/LangGraph, and building production-ready systems.
Skills & Expertise (41)
Work Experience
AI Developer
Eoxysit Solutions LLP
Jan 2026 - Present
Built JuristWay AI, an end-to-end SaaS platform with APIs, chatbot, JWT auth, and full user lifecycle (login–logout). Developed LLM-based chatbot workflows using LangGraph & FastAPI with multi-step agent orchestration. Created scalable AI microservices & REST APIs using FastAPI for production-ready architecture. Implemented anomaly detection (RPCA, SUOD) integrated with CrewAI agents for automated workflows. Built AI payroll anomaly detection to identify irregularities and improve data integrity. Developed AI hiring system for candidate-job matching using similarity and ranking techniques. Used MongoDB for efficient handling of structured/unstructured data in AI pipelines. Contributed to end-to-end system design, including backend architecture, APIs, and deployment.
AI Developer Intern
Greenfinch Global Consulting
Apr 2025 - Nov 2025
Built production-ready TechBit WhatsApp Chatbot with LangGraph state-machine, FastAPI, and FAISS vector database for intelligent multilingual support (English, Hindi, Hinglish). Architected AI document processing pipeline with Sentence Transformers embeddings achieving sub-5 second query response times with context-aware conversational memory. Deployed scalable solution on AWS EC2 with concurrent request handling, real-time vector store updates, and comprehensive error handling/logging systems. Developed GenAI stock analysis app processing 10K+ data points and automated web data extraction with Selenium, reducing manual processing time by 60%.
Clinical Data Analyst
Paramount Health
Jan 2024 - Feb 2025
Analyzed 500K+ medical records (claims, diagnostic images, prescriptions, lab reports) using SQL/Python with manual feature engineering, achieving 90% baseline accuracy in detecting fraudulent claims worth $2M+ annually. Built predictive ML models with Scikit-learn, improving fraud detection accuracy by 4-5% through automated feature selection and ensemble methods. Designed and deployed Power BI dashboards visualizing fraud patterns, claim trends, and risk indicators for stakeholders to enable data-driven decision making.
Healthcare Data Analyst
Vidal Health
Sep 2021 - Jun 2023
Built comprehensive data pipeline for processing medical records (patient histories, imaging data, prescriptions, billing) including cleaning, preprocessing, EDA, and filtering workflows. Served as knowledge bridge between medical team (doctors, managers) and technical teams, translating clinical requirements into actionable data workflows. Discovered fraudulent hospital through systematic analysis of medical record inconsistencies and anomalies, leading to investigation by higher authorities and regulatory action.
Education
MIT IDSS Data Science & Machine Learning Program - Great Learning
- · Afghanistan
Bachelor of Dental Surgery - Rajasthan University of Health Sciences
- · Afghanistan
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Skills (41)
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