
M.Tech from IIT Hyderabad | Currently working in Intel as software Engineer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Intel
Data Scientist
June 18, 2026 – Present
Digital-Design-and-Computer-Architecture
January 2, 2021 – January 18, 2021
Digital-Design-and-Computer-Architecture — GitHub repository
View ProjectModern-CPP
May 25, 2020 – May 31, 2020
This Repo contains my solutions for the homework assignments for Modren C++ course from University of Bonn(2018)
View ProjectCNN
February 8, 2020 – April 26, 2020
This repository contains the math behind deep learning kernels and there implementation in python
View ProjectNLP-Sentiment-analysis
July 30, 2019 – July 30, 2019
NLP-Sentiment-analysis — GitHub repository
View ProjectQ-Learning-Based-Power-Control-Algorithm-for-D2D-Communication
July 20, 2019 – July 26, 2019
D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement of quality of service(QoS) from cellular users.
View ProjectNLP-Continuous-Bag-of-Words-CBOW-Tensorflow
July 15, 2019 – July 15, 2019
This is step by step implementation of CBOW
View ProjectImage-based-calculator-for-handwritten-mathematical-expression
June 27, 2019 – June 28, 2019
The main aim of the project is to recognize and evaluate Handwritten mathematical expression using tensorflow
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and personal exploration in various technical domains, including digital design, computer architecture, and deep learning. While there's a clear alignment with the 'Data Scientist' target role through several ML/NLP projects, the breadth of projects (e.g., Verilog, Linux Device Drivers) suggests a broad technical curiosity. The single professional experience as a Data Scientist at Intel, if current, indicates direct role alignment. However, the lack of team-based projects or contributions makes it difficult to assess cultural fit beyond individual technical drive.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approach, or communication style.