Versatile technologist with expertise in Python, R and Java, complemented by hands-on experience in Terraform and cloud platforms (AWS, GCP, Azure). Skilled in designing and implementing scalable applications, dashboards and end-to-end pipelines, leveraging CI/CD, containerization, and automation to streamline development workflows. Proven ability to translate business requirements into robust technical solutions, collaborate effectively with cross-functional teams, and mentor peers. Enthusiastic about continuous learning, exploring emerging technologies, and fostering a collaborative, high-impact work environment.
University of Bristol | 2024 - Current
Working on enhancing my knowledge in the field of Data Science and AI..
Dr APJ Abdul Kalam Technical University | 2018 - 2022
Explored the vast domain of Computer science, Build an understanding of basic concepts of software development and the complete process of a software development life cycle and other affiliated streams within the domain of computers.
Spring Dale College | 2017 - 2018
ICSE Board
Maths, Science and Computers domain. Scored 70%. Got understanding for basic principals of Science. Did get an understanding of programming concepts in Java and OOPs concept.
Spring Dale College | 2015 - 2016
ICSE Board
75%
Ford Motor Company | Jan, 2023 - Aug, 2024
Collaborated with the supply chain analytics team to design and implement efficient data engineering pipelines with advance deep learning models enabling real-time monitoring of the supply chain.
Nagarro | May, 2022 - December, 2022
Worked on understanding automation concepts and implementation of DevOps mindset. Build pipelines with Jenkins and Azure DevOps. Integration pipeline with Azure Cloud, AWS Cloud and Google Cloud services. Hands-on with toolkits like sonarqube, artifactory, Prometheus, Ansible, ELK, and Grafana. Understand and implement containerization with Docker and Kubernetes.
Responsible AI For Youth Program | Jan, 2021 - Aprl, 2021
Volunteer and Intern in the Responsible AI For Youth Program, an initiative by the government of India to introduce students from government schools to AI. Contributed as a mentor for the students and guided them hand in hand in several projects relating to machine learning
A powerful and automated document parser built with LangChain for intelligent document processing. Automatically detects file types and uses appropriate loaders for PDF, DOCX, CSV, JSON, HTML, and more.
Read MoreAn intelligent SQL query automation system that converts natural language questions into SQL queries using LLM, RAG, and Python. Features CLI interface, comprehensive testing, and modular architecture.
Read MoreFine Tuning LLM model using LoRA adaptor to understand Hindi language using custome data and encoders
Read MoreThis project analyzes dynamic pricing trends in e-commerce using datasets from Kaggle and eBay. The analysis includes data cleaning, validation, and advanced analysis using Apache Spark.
Read MoreA Python data pipeline that analyzes website hit logs to identify and rank the top 3 most influential articles leading users to registration events.
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