Anil Lohar — Software Engineer
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! 🚀
Stackforce AI infers this person is a Backend Engineer specializing in AI-driven solutions and Fintech innovations.
Location: Bengaluru, Karnataka, India
Experience: 6 yrs 8 mos
Skills
- Backend Engineering
- Ai & Machine Learning
- Security & Compliance
Career 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.
Work Experience
Amazon
Software Development Engineer 2 (3 yrs 7 mos)
YouGov
Developer (10 mos)
Python Developer (1 yr 6 mos)
Auriga IT Consulting Pvt Ltd
Associate Software Engineer, Python (8 mos)