I'm an AI & Backend Engineer specializing in building enterprise Agentic AI systems, scalable backend services, and cloud-native applications. My work spans Multi-Agent Systems, LLM orchestration, RESTful microservices, RAG, enterprise integrations, and cloud infrastructure.
Currently, I'm working at Infosys as a Digital Specialist Engineer, where I build production-grade AI systems that automate complex enterprise workflows using Google ADK, Python, FastAPI, AsyncIO, and LLM-powered agents.
- 💼 AI & Integration Engineering at Infosys: Building enterprise-grade Agentic AI systems and automation platforms for complex integration workflows.
- 🤖 Multi-Agent AI Systems: Designing hierarchical agent architectures involving Planner, Executor, Verifier, and Retrieval agents for autonomous workflow execution.
- 🧠 LLM & RAG Applications: Building hybrid RAG pipelines with vector databases, contextual memory, and Redis-powered semantic retrieval.
- ⚙️ Enterprise Backend Systems: Developing scalable RESTful APIs using FastAPI, Django, AsyncIO, PostgreSQL, and Redis with a focus on Clean Architecture.
- ☁️ Cloud & DevOps: Working with AWS, Azure, Docker, Kubernetes, Helm, and CI/CD pipelines to deploy and operate production systems.
- 🔗 Enterprise Integration: Automating SAP CPI iFlows and workflows using AI-driven orchestration, message mapping, and enterprise integration patterns.
- Python – AI systems, backend development, FastAPI & AsyncIO
- C++ – Object-Oriented Programming & problem solving
- SQL – Database design, query optimization & data processing
- TypeScript & C# – Application development
- Django & FastAPI – RESTful backend services and APIs
- Google ADK – Multi-agent orchestration & enterprise AI
- Large Language Models (LLMs) – Building AI-powered workflows
- Multi-Agent Systems – Planner, Executor, Verifier & Retrieval architectures
- LangChain & RAG – Retrieval-augmented generation pipelines
- Prompt Engineering
- PyTorch – Deep learning & computer vision
- Conversational AI
- AWS & Azure
- Docker & Kubernetes
- Helm & CI/CD Pipelines
- Azure Data Factory
- Redis
- PostgreSQL & MySQL
- MongoDB
- RabbitMQ
- Power BI
- SAP CPI (Cloud Platform Integration)
- Automated iFlow & Workflow Creation
- Message Mapping
- Groovy Scripting
- Enterprise Integration Patterns (EIP)
Aug 2025 – Present | Hyderabad, India
- 🤖 Engineered an AI automation platform for SAP CPI iFlow and workflow creation, reducing development and configuration effort by 50%.
- 🧠 Architected production-grade Agentic AI systems using Google ADK, FastAPI, Python AsyncIO, and custom tool-calling agents.
- ⚙️ Designed scalable REST APIs following Clean Architecture, using Redis caching and connection-pooled PostgreSQL databases.
- 🚀 Implemented CI/CD pipelines, automated dependency handling, reasoning memory layers, and observability tooling for cloud deployments.
- ☁️ Worked with AWS and Kubernetes to support scalable enterprise AI deployments.
Oct 2024 – Mar 2025 | Gurugram, India
- 🔄 Built scalable ETL/ELT pipelines using Azure Data Factory and Python for automated ingestion, schema validation, and transformation.
- 📈 Developed interactive Power BI executive dashboards for healthcare KPI analytics.
- 🤖 Integrated AI-assisted reporting workflows to improve data-driven business decision-making.
A distributed multi-agent platform designed for autonomous enterprise workflow execution.
- 🧩 Built using Google ADK, Python AsyncIO, and FastAPI
- 🤖 Implemented hierarchical Planner, Executor, Verifier & Retrieval agents
- 🔍 Developed Hybrid RAG pipelines using vector databases
- 🧠 Added contextual memory layers for reliable agent execution
- ⚡ Integrated Redis caching for sub-second semantic retrieval
A computer vision classification system built with PyTorch and Vision Transformers.
- 🧠 Engineered a Vision Transformer-based classification pipeline
- 🎯 Achieved 96% classification accuracy
- 🔬 Built the project using PyTorch and deep learning techniques
- 🤗 Integrated with the Hugging Face ecosystem
An asynchronous task automation system built around Spring Boot and RabbitMQ.
- 🚀 Built asynchronous microservices using Spring Boot & RabbitMQ
- 🤖 Integrated Hugging Face NLP APIs
- ⏰ Implemented scheduled task generation and automation
- 🧠 Claude Certified Architect Foundations
- 🤖 Google Enterprise Agent Development Badge — Google ADK Master
- ☁️ AWS Certified Cloud Practitioner
- ☁️ Microsoft Certified: Azure Fundamentals (AZ-900)
- 🤖 Infosys Certified Machine Learning Engineer
- 🔥 Deep Learning with PyTorch
Inderprastha Engineering College
🎓 B.Tech in Computer Science & Engineering
📊 CGPA: 7.7 / 10
📍 Ghaziabad, India
📅 Graduated: August 2025
- 🤖 Agentic AI & Multi-Agent Systems — Building autonomous systems capable of reasoning, planning, tool usage, and workflow execution.
- 🧠 LLM Engineering — Exploring RAG, contextual memory, orchestration, and reliable AI systems.
- ⚙️ Backend Architecture — Designing scalable microservices with clean architecture and high-throughput APIs.
- ☁️ Cloud-Native Engineering — Deepening expertise in Kubernetes, AWS, Azure, CI/CD, and distributed systems.
- 🔗 Enterprise AI Automation — Applying AI to real-world enterprise workflows and integration problems.
Feel free to reach out if you're interested in AI engineering, Agentic AI, backend systems, cloud architecture, or building something interesting together!
🌟 "Driven by curiosity, engineering, and the pursuit of intelligent systems." 🌟
Building systems that don't just execute workflows — they understand them.