Ankit Narang
Hi, I’m Ankit Narang, an AI/LLM Systems Architect and Full Stack Engineer with 3+ years of experience designing and building production-grade AI platforms, scalable APIs, and cloud infrastructure.
About
Hi, I’m Ankit Narang, an AI/LLM Systems Architect and Full Stack Engineer with 3+ years of experience designing and building production-grade AI platforms, scalable APIs, and cloud infrastructure. I’m the co-founder of Awshar AI, where we focus on delivering real-world, language-centric AI systems beyond prototypes.
I specialize in LLM integration, prompt engineering, RAG, GenAI, and end-to-end AI pipelines. I’m proficient in JavaScript, TypeScript, Python, and C++, with hands-on experience building frontends in React/Angular and backends with Node.js, FastAPI, and MongoDB. I love architecting scalable cloud solutions on AWS, Docker and Kubernetes, and driving DevOps practices to ensure reliable, secure production systems.
- 3 years' experience
- Joined July 2025
Skills· 19
Languages
- EnglishFluent
- HindiFluent
Industry experience
- Software & Internet
- Education
- Professional Services
Work experience· 5 roles
Led frontend development of an internal Project Management Tool (PMT) using Angular, replacing Zoho for timesheet tracking and project oversight, and saving costs on third-party tools. Designed PMT to support white-labeling and subscriptions, enabling future monetization. Built a reusable Angular UI library used across internal projects to speed up development and ensure consistency. Managed the entire AppsRhino backend, developing and maintaining RESTful APIs to add new functionalities and ensure robust integrations for a seamless user experience. Integrated Razorpay and PayPal payment gateways, securely processing transactions. Optimized 14 microservices within AppsRhino, fixing critical bugs and enhancing system reliability by approximately 15%.
Architect and scale the full platform end-to-end — 5 microservices, 10K+ active users, real-time data pipelines, and cloud infrastructure on AWS. Built and trained VAAK — a Small Language Model (SLM) for India, supporting 20+ Indian languages and 500+ dialects including Hinglish, Tanglish, and Manglish with native code-mixing. Engineered AI pipelines for real-time social listening across 7+ platforms — sentiment analysis, influencer detection, competitor insights, and AI-powered brand intelligence. Led microservice orchestration, DevOps workflows, cloud deployment, security, and performance tuning ensuring production reliability at scale.
Mentored developers in C Programming, DSA, and Competitive Programming through structured sessions. Achieved Rank 1 in November and Rank 2 in October among all instructors, demonstrating exceptional teaching effectiveness and student engagement. Conducted live classes and maintained an active educator profile.
Education
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