About
Software developer with experience building backend systems, microservices, and cloud-deployed applications using Java, Spring Boot, Python, FastAPI, and PostgreSQL. Strong focus on performance optimization, DevOps, and production-ready engineering across full-time, internship, and freelance roles.
Experience
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Software DeveloperIluam Tech Pvt. LtdAug 2025 – Present
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Software Development EngineerBelzabar Software Design Pvt. Ltd. · DelhiJul 2024 – Jul 2025
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Software Developer InternBelzabar Software Design Pvt. Ltd. · DelhiMar 2024 – Jun 2024
Education
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Bachelor of Technology in Electronics and CommunicationElectronics and Communication · Dec 2020 – Apr 2024
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High SchoolDharampeth M.P. Deo Memorial Science College, Nagpur · Dharampeth M.P. Deo Memorial Science College, NagpurPCM · Jun 2018 – Jul 2020
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10th / Secondary (Class 10)School of Scholars Atrey Layout · School of Scholars Atrey LayoutPCMBE · Jun 2017 – Mar 2018
Skills
- SQL <3 months
- AngularJS <3 months
- Deep Learning <3 months
- Python <3 months
- Machine Learning <3 months
- Linux <3 months
- MySQL <3 months
- Java <3 months
- JavaScript <3 months
- MongoDB <3 months
- PostgreSQL <3 months
- React <3 months
- AWS <3 months
- Docker <3 months
- Spring Boot framework <3 months
- Kubernetes <3 months
- Jenkins <3 months
- Microservices <3 months
- CI/CD <3 months
- Natural Language Processing <3 months
- RESTful APIs <3 months
- RAG <3 months
- Kafka <3 months
- LLMs <3 months
- AI Agents <3 months
- MCP <3 months
- Core Java <3 months
- Hibernate/JPA <3 months
Projects
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ChatApp – Three-Tier Kubernetes DeploymentDocker, Jenkins, Kubernetes, Ingress
Built a full-stack deployment with Kubernetes Ingress path-based routing and a Jenkins CI/CD pipeline integrated with SonarQube static analysis.
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Shipment Tracking Management SystemJava, Spring Boot, Flask, Kafka, AWS EKS, Docker
Designed six independent Spring Boot microservices on AWS EKS with isolated data stores, Kafka-based event streaming, and a Flask anomaly detection service for shipment delay detection.
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YouTube Video Chatbot / RAG-Based Video AssistantPython, LLMs
RAG system that enables interactive chat, question answering, and summarization for long-form YouTube videos in real time using LangChain, OpenAI embeddings, and FAISS.
Courses & certifications
- DevOps and Cloud Certification · StarAgile · 2026
🏆 Achievements & awards
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Data Structures & Algorithms
Solved 600+ coding problems across Arrays, Dynamic Programming, Graphs, Trees, and System Design on LeetCode and GeeksforGeeks.