Asharam Khatik
Software Engineer @Air India Limited
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WORK HISTORY
Software Engineer @Air India Limited
Architected and maintained scalable backend microservices handling monthly requests, focusing on low-latency REST APIs, data consistency, and fault-tolerant service design.• Designed event-driven workflows for asynchronous processing and system decoupling, enhancing reliability and operational stability across services.• Led migration from Azure App Service to Kubernetes (AKS) using Helm charts; enabled horizontal scaling, improved deployment reliability, and reduced infrastructure costs by 66%.• Built end-to-end CI/CD pipelines using GitHub Actions, Docker, and SonarQube; integrated Prometheus & Grafana to debug distributed systems, significantly reducing Mean Time To Repair (MTTR).• Developed internal developer tooling integrated with JIRA to streamline debugging workflows and RCA.• Performance: Recognized with ”Exceeds Expectations” and ”4 Star” ratings in annual reviews.
EDUCATION
CSRL
Engineering , IIT-JEE Coaching
Indian Institute of Technology, Madras
Bachelor's degree
Indian Institute of Technology, Madras
Bachelor of Technology
ABOUT ASHARAM KHATIK
I’m Asharam Khatik, a Software/AI Engineer currently working in the Enterprise Chatbot Team at Air India, where I build and deploy large-scale backend systems using Python, FastAPI, Java, Spring Boot, Azure OpenAI, Redis, and Kubernetes (AKS).I’ve designed and delivered production-grade systems including: Enterprise Chatbot PlatformUsed by pilots, crew & staff — built multi-agent workflows, RAG pipelines, and custom RBAC; handling 20K+ queries/month. Algorithmic Trading PlatformFastAPI + Redis + Streamlit-based system processing live ticks/sec with rule-based analytics (PCR, Max Pain, IV, Delta). 1st Place – Document Q&A System (GPT-4o + RAG)Built semantic search + embeddings pipeline for high-accuracy knowledge retrieval.My technical strengths include:Backend: Python, Java, FastAPI, Spring Boot, Node basicsSystems: Microservices, Kafka, Redis, SQL/PostgresDevOps: CI/CD pipelines (GitHub Actions, Jenkins), Docker, AKS, AzureAI/ML: RAG workflows, prompt engineering, multi-agent systems, vector searchCloud: Azure services, distributed systems, observabilityI enjoy solving real-world problems through scalable backend architecture, data-driven automation, and intelligent agent systems.Currently targeting SDE / Backend / AI Engineer roles at product companies.
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