I’m currently diving deep into my Master’s in Computer Science at Stevens Institute of Technology, New Jersey, USA and worked as an Analyst / Data Engineer at Silicon Labs. I’ve got hands-on experience crafting Python and Go scripts to automate data tasks, optimising SQL queries and databases, building data pipelines in Azure and migrating legacy systems to the cloud. I also love building business intelligence tools and have a background in using machine learning for early-stage breast cancer research. Always excited to tackle new challenges and drive innovative solutions!
Developed Python and Go scripts to automate data collection and streamline processes, reducing human intervention by over 75%. Created SQL scripts with advanced design patterns to enhance data processing and cut egress costs by 39% between 2023 and 2024. Led the successful migration of legacy systems and reports to the cloud. Worked with various departments to identify key performance indicators and design dashboards for performance tracking. Managed data warehousing to ensure accuracy and efficient retrieval, and created dynamic business intelligence solutions using Tableau and Power BI.
Contributed to early-stage breast cancer detection by developing machine learning and deep learning solutions, including APIs for estrogen receptor detection and deep learning models for tubule segmentation in whole-slide images. Enhanced the Allred Scoring system and contributed to related research. Integrated storage and computing clusters into an AI infrastructure framework using Docker-Swarm and HistomicksTK.
Contributed to the construction of a Hexapod robot designed for discreet exploration. Utilized Raspberry Pi 3 and Arduino components with programming in C and Python. Focused on object detection, surveillance video capture, and seamless uploading.
Developed a system using Microsoft SDK and Python to replicate human arm movements on a life-sized humanoid robot using Kinect 360. Aimed at enhancing industrial safety by mitigating risks associated with heavy machinery.
Created a drone surveillance system inspired by women’s safety. Utilized DJI Phantom 4 Drone, DJI Java SDK, and Firebase to enable the drone to capture video and alert designated contacts upon user command.
Designed and assembled a drone for college representation at BITS, Hyderabad. Responsibilities included analyzing component requirements, overseeing assembly, ensuring proper weight distribution, and conducting hardware monitoring.
Utilized Generative Adversarial Networks (GANs) to generate realistic and novel human faces. Demonstrated GAN capabilities in creating new facial images with applications in art, entertainment, digital content creation, and face anonymization.
Proficient in Java, Python, C/C++, Go, Scala, and SQL. Experienced in scripting, application development, and data processing.
Expertise in Azure (including Azure Data Factory), AWS, Databases. skilled in designing, implementing, and optimizing cloud-based solutions and data warehousing. Experience with data migration, orchestration, and performance optimization.
Proficient in Tableau and Power BI for creating dynamic dashboards and reports. Expertise in developing business intelligence solutions to support data-driven decision-making.
Knowledgeable in Linux, MacOS, and Windows. Experienced with hardware technologies including Raspberry Pi, Arduino, ArduPilot, Jetson, and Microsoft Kinect360.
Experienced in applying machine learning and deep learning techniques for image analysis, including estrogen receptor detection and tubule segmentation.
Developed Python and Go scripts for RPA to reduce manual intervention. Designed and programmed SPYder, an 8-legged robot, for object detection and obstacle avoidance.
Proficient in integrating AI infrastructure using Docker-Swarm and HistomicksTK. Experienced in managing data warehousing projects, cloud migrations, and optimizing data solutions.
Award for exceptional leadership in advancing technical education and initiatives within the University.
Award for hosting the most engaing event of the year, Sophos, National wide Coding Competetion (20,000+ Participants).
Student organization dedicated to exploring and advancing knowledge in technology and engineering through projects, workshops, and networking opportunities.