AI/ML Engineer | LLM & Agentic Systems with 1+ years in RAG, Agentic AI & Healthcare Automation
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Generative AI Engineer with 2 years of experience building production-grade LLM systems using RAG, Graph-RAG, and Agentic AI on AWS Bedrock. Specialized in LLMOps, evaluation frameworks, and reliable AI system design, delivering measurable impact including 15x throughput improvements and large-scale automation in healthcare workflows.
Osmania University
MBA · Information Technology
August 1, 2021 – June 30, 2023
Ascent Healthcare Pvt Ltd
AI/ML Engineer
May 1, 2025 – Present
India
TheSmartBridge Pvt Ltd
Machine Learning Engineer
August 1, 2024 – March 1, 2025
India
Graph-RAG Medical Coding System
May 1, 2025 – Present
Production system processing 500–1,200 clinical charts/day, converting unstructured notes to ICD-10/CPT codes at 75–86% accuracy with 15x throughput improvement over manual coding. HIPAA-compliant deployment on AWS.
Agentic Knowledge Assistant
May 1, 2025 – Present
Multi-agent system onboarding ~1,000 new joiners with sub-second response latency and 500+ requests/day at peak — reduced policy lookup time by ~60% for healthcare operations teams.
Enterprise RAG Document Intelligence Pipeline
August 1, 2024 – March 1, 2025
End-to-end RAG pipeline for multi-document QA and summarization deployed as a REST API. MLflow experiment tracking reduced deployment turnaround by 40% and was adopted team-wide at Smart Bridge.
Chess Piece Detection — Deep Learning
January 1, 2023 – October 1, 2023
Built a real-time detection system for 12 chess piece classes using DenseNet121 with data augmentation and advanced preprocessing, achieving high-accuracy classification for real-time recognition.
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
Business Analytics with Excel
Unknown
June 1, 2026 – Present
MySQL RDBMS Certification
Unknown
June 1, 2026 – Present
Power BI Certification
Unknown
June 1, 2026 – Present
TCS ION Career Edge — Young Professional
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare automation to edtech and general document intelligence, indicates adaptability and a broad interest in applying AI solutions across different domains. Their experience in mentoring junior engineers and establishing team standards suggests a collaborative mindset. The focus on production systems and measurable impact aligns with a performance-driven culture. The pursuit of AWS ML Specialty certification also shows a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in managing end-to-end system lifecycles, collaborating with SMEs, mentoring junior engineers, and establishing team-wide best practices. Their focus on evaluation-driven optimization and reducing deployment turnaround indicates a proactive and results-oriented approach. The project descriptions highlight problem-solving and a commitment to delivering measurable business value.