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Data Engineer
Akshit Verma
Portfolio
I am a Data Engineer with expertise in building and maintaining scalable data pipelines and data warehousing solutions. Proficient in SQL, Python, and Apache Spark for data processing and transformation. Experienced in designing ETL workflows, optimizing data queries, and working with cloud platforms for data analytics.
I have a strong foundation in database management, data modeling, and performance optimization ensuring efficient data flow and reliability across systems. Skilled in leveraging AWS services including Bedrock, API Gateway, and cloud infrastructure for building robust, production-grade data solutions.
Programming Languages
Cloud & DevOps
Frameworks
Databases & Vector Stores
Version Control
Deployment & Hosting
[ 2020 — 2024 ]
Built a strong foundation in Object-Oriented Programming, Data Structures, Algorithms, and Database Management Systems. Focused on software engineering principles and large-scale data processing.
Developed a predictive analytics application using pre-trained ML models to forecast future trends with high accuracy. Built interactive Streamlit frontend for real-time visualization. Integrated AWS Bedrock for advanced chatbot functionality to answer user queries about predictions.
Created a medical imaging application detecting diseases from X-ray images with confidence percentages. Trained a custom deep learning model on open-source datasets and deployed it on AWS with a Streamlit frontend.
Developed an application extracting text from images and converting unstructured data to structured formats (Excel, JSON, CSV). Created a REST API via AWS API Gateway for programmatic integration by developers.
Built an intelligent chatbot using Retrieval Augmented Generation to answer medical queries accurately. Converted medical documents into vector embeddings stored in Pinecone for fast semantic retrieval.
Developed an application that automatically generates comprehensive unit test cases from uploaded code. Built a FastAPI backend and integrated AWS Bedrock LLMs to intelligently generate tests and measure coverage improvements.
Created a platform connecting farmers with nearby mandis and real-time market rates to maximize crop selling profits. Implemented location-based services and live price data with logistics support information.
Developed a comprehensive patient health management system for hospital nurses. Features automated medication reminders, medical supply inventory tracking, and structured patient record export functionality.
Data Engineer [ Feb 2025 — Present ]
• Engineered a Python-based predictive analytics platform utilizing machine learning to forecast market trends with high accuracy, enabling data-driven decision-making.
• Developed an intelligent computer vision application for automated text extraction, converting unstructured visual data into organized formats and reducing manual processing time.
• Architected and optimized end-to-end data pipelines on AWS, ensuring 99.9% data reliability and seamless flow between distributed application components.
• Collaborated with cross-functional engineering teams to implement CI/CD best practices and maintain high-quality code standards for production deployments.
I am active on LinkedIn, where I share insights on Backend Engineering, Generative AI, and Scalable Data Systems. Feel free to connect for collaborations or opportunities.
Check out my latest projects and contributions to open-source software. My repositories focus on AI-driven applications, automation tools, and backend architectures.
Location: Noida, Uttar Pradesh, India