
Translating research into deployable, sustainable products. My work sits at the intersection of engineering and business.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QTrino Labs Private Limited
Data Scientist
June 16, 2026 – Present
16x16_LowPower-HighSpeed_Vedic_Multiplier
April 22, 2024 – April 25, 2024
The hardware of a 16 bit x 16 bit multiplier is designed using Verilog HDL. The multiplication is performed using Vedic Mathematics which is proved to consume less power and faster than conventional multipliers. The sutra used here is "Urdhva-Tiryagbhyam sutra"
View ProjectnanoGPT
March 5, 2024 – March 8, 2024
Training a nanoGPT model to generate PG Wodehouse like text
View ProjectIIITD_Multi-UAV-Placement
May 20, 2023 – May 20, 2023
Multi-UAV Placement and User Association in Uplink MIMO Ultra-Dense Wireless Networks
View ProjectConcrete_Compressive_Strength_Prediction
April 28, 2022 – April 28, 2022
A simple application of AI-ML in Civil Engineering to predict the concrete compressive strength
View Projectproject-diabetes
March 13, 2022 – March 17, 2022
A website for tracking the diabetes patient on the sugar level.
View ProjectML-LEARN
February 16, 2022 – March 27, 2022
“In God we trust, all others bring data.” — W Edwards Deming
View Projectbank_management_system
August 10, 2020 – November 22, 2020
A simple bank-management system using python-mysql
View ProjectCultural Fit Analysis
The candidate's projects show a diverse interest in different technical areas, including AI/ML, hardware design (Verilog), and basic web development. This breadth suggests adaptability and a willingness to explore various domains. The current role as a Data Scientist aligns well with the target role, indicating a focused career path. However, the lack of detailed descriptions for some projects and the absence of team-based projects make it difficult to fully assess collaborative potential or specific cultural fit aspects beyond general technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.