Anil Lohar

Software Engineer

Bengaluru, Karnataka, India6 yrs 8 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led development of AWS Q, enhancing indexing for millions.
  • Designed fraud detection systems for high-volume transactions.
  • Integrated advanced AI models for improved query handling.
Stackforce AI infers this person is a Backend Engineer specializing in AI-driven solutions and Fintech innovations.

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Skills

Core Skills

Backend EngineeringAi & Machine LearningSecurity & Compliance

Other Skills

API DevelopmentAWSAccess ControlData AnalysisData SecurityDatabase OptimizationDeep LearningDistributed SystemsDjangoETL PipelinesFraud DetectionGEN AILLMsMicroservicesNLP

About

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

Amazon

Software Development Engineer 2

Aug 2022Present · 3 yrs 7 mos · Bengaluru, Karnataka, India

  • 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).
AWSGEN AIData SecurityReal-time ProcessingFraud DetectionAccess Control+4

Yougov

2 roles

Developer

Promoted

Oct 2021Aug 2022 · 10 mos

  • Developing and Managing projects of BrandIndex (A product of YouGov)
  • Building APIs, creating models to analyze the important factors impacting the client brand’s popularity and overall health.
  • Optimizing Database queries and low-level code to ensure real-time response and low latency, to ensure that massive growth of users doesn’t affect the product.
  • Working on developing ETL pipelines and proactive alert systems for data pipelines, where data comes from 5+ sources and 100+ countries.
  • Working with two different development teams (software and analytics).
API DevelopmentDatabase OptimizationETL PipelinesData AnalysisBackend Engineering

Python Developer

Mar 2020Sep 2021 · 1 yr 6 mos

  • * Building/managing projects of BrandIndex (a product of YouGov)

Auriga it consulting pvt ltd

Associate Software Engineer, Python

Jun 2019Feb 2020 · 8 mos · Jaipur Area, India

  • Building RESTful Api's, Django web interface and enterprise level solutions for automating the customer interaction.
  • Working on different types of Relational and Non-relational databases as per needs.
  • Creating deep learning models for NLP and Image processing based solutions.
  • Building micro-services for In-house Products.
RESTful APIsDjangoDeep LearningMicroservicesBackend Engineering

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