π My GitHub Stats
I'm a Data Engineer and Software Developer currently pursuing a Master's in Computer Science (Analytics) at NIT Delhi. With over three years of industry experience as a Data Engineering Analyst at Accenture, I specialize in building scalable data pipelines, deploying machine learning models, and architecting robust, cloud-based solutions.
I am passionate about leveraging big data and AI to solve complex problems and am always eager to learn new technologies. My core interests lie in MLOps, Generative AI, and distributed systems.
- π M.Tech in Computer Science & Engineering (Analytics) @ NIT Delhi (2024β2026)
- πΌ Former Data Engineering, Management & Governance Analyst @ Accenture (2021β2024)
- π± Currently learning Advanced Machine Learning, MLOps, and efficient system design
- π¬ Ask me about Data Engineering, Cloud Architecture, Python development, and AI/ML models
- β‘ Fun fact: I love building automated workflows and experimenting with big data processing frameworks!
| Category | Technologies |
|---|---|
| Languages | Python, C++, SQL, JavaScript, PHP, Shell Scripting, Java |
| AI/ML & Data Science | TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, NLP, LLMs, Generative AI |
| Big Data | Apache Spark, Hadoop (HDFS, MapReduce) |
| Cloud & DevOps | Google Cloud (GCP), AWS, Microsoft Azure, Docker, Kubernetes, Git |
| Databases | PostgreSQL, MySQL, SQLite, Polyglot Persistence |
| Frameworks & Tools | Node.js, Flask, Laravel, RESTful APIs |
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πΉ NexFinCo β Credit Management Platform
- Developed a scalable credit scoring platform using a Python backend, simulating real-time payment workflows via RESTful APIs to enhance credit processing. Designed a polyglot persistence layer for scalable storage and analytics.
Technologies: Python, Big Data, Polyglot Persistence, RESTful APIs, Data Modeling
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πΉ BolSaathi β Voice-first AI for Healthcare
- Engineered a multilingual, voice-based AI solution to provide healthcare information access for underserved communities, enabling information retrieval via speech recognition, NLP, and text-to-speech.
Technologies: Python, Speech Recognition, NLP, Text-to-Speech
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πΉ Full-Stack Web Solutions
- Built and deployed various web applications using frameworks like Laravel and Node.js, focusing on creating efficient, maintainable code and scalable systems.
Technologies: Laravel, Node.js, PHP, React, SQL
- π Google Cloud Professional Machine Learning Engineer (2024)
- π Google Cloud Professional Cloud Architect (2024)
- π AWS Certified Cloud Practitioner (2022)
- π Microsoft Certified: Azure Fundamentals (2023)
- π Green Software for Practitioners (The Linux Foundation, 2023)
- π GATE Qualified β 2025 (Score: 560) & 2024 (Score: 515)
- π HackWithInfy National Qualifier & Campus Winner β SMC Mechatronics Cup (2019)
- π Published Research: "Multi-Lingual Code-Mixed Machine Translation System", International Conference on Computational Intelligence and Computing Applications (ICICCA), 2021.
Feel free to reach out if you want to collaborate on a project or just have a chat!

