Software Engineer | Backend Systems, AI/LLMs & Infrastructure | Python, Go, FastAPI, Kubernetes
Hyderabad, India
keesarianish@gmail.com
I'm a Software Engineer with a strong interest in backend development, AI engineering, and cloud-native systems. Currently working as an AI Engineer Intern at Roots Infosoft, I focus on building AI-powered applications, backend services, and reliable workflows that integrate large language models with real-world functionality. Previously, I worked as a Technical Intern at BARC, contributing to backend API development, data-driven systems, and performance testing. My experience spans Python, Java, Spring Boot, FastAPI, REST APIs, databases, and cloud technologies, along with hands-on exploration of LLM orchestration, retrieval-augmented generation (RAG), tool calling, multi-agent systems, and Kubernetes. Beyond internships, I enjoy building software projects that explore system design, automation, distributed workflows, and practical problem-solving. I'm particularly interested in understanding how scalable, reliable software is designed, deployed, and maintained. I'm always looking to learn from other engineers, exchange ideas, collaborate on meaningful projects, and connect with teams building useful technology. I'm open to opportunities in backend engineering, software development, and AI-enabled systems where I can contribute, grow, and take on challenging engineering problems.
AI development engineer
Roots Infosoft Technology
Technical intern
Bhabha atomic research centre
Built a Kubernetes reconciler for ModelDeployment custom resources with drift correction and status conditions, tested against a real kube-apiserver/etcd environment. Developed a typed FastAPI model registry and Redis-backed asynchronous inference workers with idempotency, backpressure, timeouts, and crash recovery.
Multi-Agent AI Debate Platform
Built a real-time multi-agent system that orchestrates Gemini and Mistral agents through WebSockets and finite-state turn scheduling. Added prompt and output sanitization and human interjection to support controlled, interactive AI conversations.
Offline-First Multi-Tenant Inventory SaaS
Implemented an offline synchronization engine using vector-clock conflict resolution. Designed multi-tenant data isolation with PostgreSQL Row-Level Security and secured APIs with JWT authentication and role-based access control.
Weavers Club Sarees – E-commerce Storefront
Built and run a live e-commerce store for a real saree business. Includes an admin panel and a WhatsApp ingestion pipeline: the seller sends photos, videos and a description in chat, and the system turns them into draft products automatically. Handles out-of-order messages with an inbox queue, dead-letter handling and versioned DB migrations.
Class 10
Atomic energy central school 4 · 85.5%
Class 12
Pace junior high school · 71%
Bachelor's of technology in Computer Science
Vellore institute of technology · 7.41
Amazon Web Services
Jun 2026AWS Certified Developer - Associate
Amazon Web Services
Jun 2026Microsoft Azure AI fundamentals
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Jun 2026AWS Academy Graduate - Cloud Foundations
Amazon Web Services
Oct 2024AWS Academy Graduate - Cloud Architecting
Amazon Web Services
Oct 2024Attendee · Oct 24, 2026