ExperienceShiv AkashProjects
Indian Institute of Technology, Madras

Data Analysis Intern

Indian Institute of Technology, Madras

Built an image analysis pipeline to quantify fluorescence cell counts, improving accuracy in cellular studies and enabling high-throughput drug screening

Applied spectral data analysis to develop and optimize a point-of-care diagnostic device for biomarker detection in infectious diseases and cancer

Jan 2025 – May 2025
The Institution Of Engineers India VIT

Executive Design Head

The Institution Of Engineers India VIT

Organized and served as panelist at 'Illumina' a 36-hour hackathon, fostering innovation and collaboration at VIT

Took on the crucial responsibility of organizing and training new candidates for our chapter. Through this experience

Refined my leadership and communication skills and played an important role in assuring the organization's future success

Jan 2023 – Oct 2024
Qmax Systems Inc.

Embedded Systems & PCB Design Intern

Qmax Systems Inc.

Worked on a project centered on the development of an RO Control Board, using the Nuvoton NuMaker-MS51PC family microcontroller

Interfaced the microcontroller with a TM1638 7-Segment Display Keypad & LED module, employing advanced techniques such as UART, SPI Communication, and ADC integration

Learnt and worked on the complete PCB Design process, involving schematic creation, footprint creation, netlist generation, component placement, routing and Gerber file exports

Created comprehensive documentation, including assembly drawings, BOM (Bill of Materials), and assembly instructions

Sep 2023 – Nov 2023
Hewlett Packard Enterprise

Academic Intern

Hewlett Packard Enterprise

Deployed deep learning models on Microsoft Azure under the mentorship of Mr. Shantanu Pandey, optimizing scalability and management of large datasets for complex computations

Dec 2022 – Jan 2023
National University of Singapore

DL Academic Intern

National University of Singapore

Gained hands-on expertise in data analytics, data mining, and deep learning by applying exploratory data analysis, preprocessing, and predictive modeling techniques to build and train neural network models

Dec 2022 – Jan 2023