Building intelligent systems at the intersection of knowledge graphs, AI/ML platforms, and distributed systems
Tech Lead at Amazon creating GenAI and knowledge graph systems that enable automated reasoning and decision-making at scale.
About
I'm a Senior Software Development Engineer at Amazon, where I serve as Tech Lead for event-driven architectures in AWS Fintech. My work focuses on designing and implementing Gen AI infrastructure, automating lifecycle management of Gen AI racks, and building developer toolkits that leverage Amazon Bedrock and open-source technologies to improve operational excellence. I've authored high-impact design documents for projects impacting financial statements by over $300M.
My expertise spans knowledge graph engineering, AI/ML platforms, and distributed systems. I've led the architecture and productionization of scalable Entity Resolution systems using Graph Metablocking, developed FHIR-compliant knowledge graphs for healthcare, and built semantic search capabilities that increased customer acquisition. I've managed engineering teams, delivered graph-powered applications to 30+ customers, and contributed to open-source graph database libraries.
Previously, I worked as Engineering Lead at Circulo Inc, Software Solution Engineer at TigerGraph, and AVP Data Engineer at Jefferies LLC, where I built scalable knowledge graph ETL pipelines and semantic data lakes. I hold a Master's degree in Computer Science from New York University (2018, GPA: 3.8/4) and a Bachelor's in Computer Engineering from LD College of Engineering, India (2016, GPA: 3.6/4). My technical interests include graph databases, distributed systems, machine learning infrastructure, and semantic technologies.
Experience
Senior Software Development Engineer
Amazon.com Inc
Serving as Tech Lead in designing and implementing event-driven architecture for AWS Fintech, automating lifecycle management of Gen AI racks. Authored bar raising High-Level and Low-Level Design Documents supporting successful delivery of event-driven projects, leveraging AWS services impacting financial statements by >$300M. Driving organizational-level initiatives to enhance operational excellence by building Gen AI-based toolkit to improve developer efficiency, leveraging open rewrite and Amazon Bedrock.
Engineering Lead, AI/ML - Knowledge Graph
Circulo Inc
Led the architecture and productionization of scalable Entity Resolution using Graph Metablocking deployed on GraphX, reducing Master Data Management costs by 75%. Developed and scaled Circulo Knowledge graph compliant to FHIR healthcare data to enable semantic search for web app, increasing customer acquisition by 20%. Managed a team of 4 engineers, evangelizing adoption of knowledge graph powered frontend applications to multiple teams by delivering resolver based GraphQL APIs.
Software Solution Engineer
TigerGraph Inc
Spearheaded initiative to enhance product experience by authoring translation of RDF to TigerGraph, creating a defined toolkit to acquire potential customers. Contributed to GraphML toolkit and User Defined Functions (UDFs) using C++ for the TigerGraph GSQL open source library. Conducted YouTube and live webinars to showcase graph powered ML use-cases. Successfully delivered semantic search, chatbots and query optimizations to 30+ customers as professional services engagement, generating $3M ARR.
AVP, Data Engineer - Semantic Data Lake
Jefferies LLC
Developed scalable Knowledge Graph ETL data pipelines leveraging Spark, FIBO Ontology and SPARQL. Built and maintained semantic data lake infrastructure for financial analytics, processing complex financial datasets to extract meaningful insights and support data-driven decision making.
Projects
Virtual Bar
An innovative interactive application showcasing expertise in building user-centric applications. A comprehensive project demonstrating full-stack development skills and modern web technologies.
Language Trend Analytics
Big Data Analytics project analyzing programming language trends and their impact on the interview process. Integrates data from GitHub API, StackOverflow API, and Indeed API to provide comprehensive insights into technology trends.
Clinical Research Analysis
Advanced clinical research analysis on NIS (National Inpatient Sample) dataset using SAS. Focused on STEMI patients with comprehensive statistical analysis and healthcare data insights.
Statistical Analysis of Financial Data
Machine learning project analyzing financial data using advanced statistical methods and ML techniques. Extracting meaningful insights and patterns from complex financial datasets.
Research & Publications
View all on ResearchGate2025 IEEE World Conference on Applied Intelligence and Computing
Monil Shah, et al. · IEEE AIC 2025 · 2025
Published paper at the 4th 2025 IEEE World Conference on Applied Intelligence and Computing. Focuses on applied intelligence and computing applications in knowledge graphs, AI platforms, and distributed systems.
In-Hospital Outcomes After Transapical Versus Transfemoral Transcatheter Aortic Valve Replacement: From National (Nationwide) Inpatient Sample (NIS) 2012-2014
Monil Shah, et al. · Research Publication · 2017
Comparative analysis of in-hospital outcomes between transapical and transfemoral approaches for transcatheter aortic valve replacement (TAVR) using the National Inpatient Sample database. Examines clinical outcomes, complications, and mortality rates in patients undergoing TAVR procedures from 2012-2014.
For a complete list of publications, visit my ResearchGate profile.
Articles & Blog Posts
GenAI for SME Knowledge Automation
Exploring how Generative AI can eliminate SME bottlenecks in enterprise systems by transforming complex enterprise logic into conversational explanations. Discusses the application of GenAI in building knowledge graphs for small and medium-sized enterprises.
Medium Articles & Blog Posts
Thought leadership articles and technical blog posts covering topics in AI, machine learning, knowledge graphs, distributed systems, and software engineering.
Awards & Recognition
Presentations & Talks
Reviewing & Judging
Review Activity
Conference/Journal Name
Description of reviewing work, number of papers reviewed, or judging responsibilities.
Get in Touch
Let's collaborate
I'm always interested in hearing about new opportunities, research collaborations, or just chatting about knowledge graphs and AI systems. Feel free to reach out!
Education
Master of Science, Computer Science — New York University
May 2018 · GPA: 3.8/4.0
Bachelor of Engineering, Computer Engineering — LD College of Engineering, India
May 2016 · GPA: 3.6/4.0