Anil Lohar

About Anil Lohar

Software engineering isn’t just about writing code—it’s about building systems that scale, solve real-world problems, and enhance user experiences. I’m passionate about designing intelligent, high-performance architectures that drive efficiency and innovation.With 6+ years of experience in backend development, distributed systems, and AI-driven solutions, I specialize in crafting resilient, scalable platforms that power critical applications.Currently, I work at Amazon (AWS & Amazon Payments Services), leading projects that focus on solving business problems using GEN AI, data security, real-time processing. My key contributions include: AWS Q (GEN AI Assistant) – Developed a real-time data connector platform syncing from 80+ sources, enhancing indexing efficiency for 2.38M AWS customers. Fintech Innovations in MENA – Designed a penny-drop bank verification & card tokenization system, and built a Fraud detection service in Amazon payment services which handles ~6 Million TPV per week. AI & NLP – Integrated Retrieval-Augmented Generation (RAG) models to improve AI-driven insights and intelligent query handling.My Expertise Covers: Backend Engineering – Architecting fault-tolerant, scalable distributed systems. System Design & Architecture – Optimizing for low-latency and high performance.🤖 AI & Machine Learning – Leveraging LLMs and NLP for automation and analytics. Cloud & DevOps – AWS, Docker, Kubernetes, and microservices. Security & Compliance – Implementing access control, fraud detection, and secure transactions.I’m also passionate about mentorship and knowledge-sharing—whether it\'s helping engineers master system design, discussing career growth strategies, or breaking down complex technical concepts.Let’s connect if you’re interested in Full-stack development, AI-powered systems, or industry insights—or if you\'re hiring for a role where my expertise fits!

Experience

1. Software Development Engineer 2

   Amazon

   Aug 2022 — Present · Bengaluru, IN

   As an SDE-II at Amazon, I work on AWS Q (Gen AI Assistant), designing and building scalable, secure, and AI-driven platforms that power millions of users.Key Contributions & Achievements: AWS Q – Data Connector Platform: Designed and built a real-time data connector platform that syncs data from 80+ sources (S3, Excel, Slack, etc.) every hour, enhancing indexing efficiency.Led a team of 6 engineers to develop this platform, ensuring smooth cross-team collaboration. Access Control & Data Security: Developed Access Control Lists (ACLs) for Amazon Q, enforcing enterprise-level data privacy and compliance. AI & Retrieval-Augmented Generation (RAG) Models: Integrated RAG models to enhance AI-powered search and query processing, enabling more accurate and efficient responses. Utilized LLMs (Large Language Models) to intelligently process and interpret user queries. Amazon Payments – Fraud Prevention & Transaction Control: Designed and implemented a live fraud detection system that handles 6M TPV transactions per week across Amazon MENA, reducing fraudulent activities. Built real-time transaction control services, ensuring seamless and secure payments at scale. Automated Merchant Onboarding & Chargeback Recovery: Developed a penny-drop verification & card tokenization system, reducing merchant onboarding time by 50%(from 1 hour to 30 minutes).

Education

• Jaipur Engineering College & Research Center

  Bachelor of Technology - BTech

  2015 — 2019