Praveen Akarapu
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Staff Software Engineer at Google
Experienced Senior Software Engineer and Leader with a demonstrated history of working in the internet industry. Strong engineering professional skilled in Scalability, Distributed systems, Micro services, Serverless architecture. Breadth of knowledge in leading projects in various domains, Tier 1 services with high throughput, SQL and No SQL data stores, Customer behavioral analytics, Content search, Mobile applications. Love solving complex technical challenges individually and also collaborating with others. I don't like status quo, there is always an area of improvement. "It's still Day 1".
Indian Statistical Institute, Kolkata
M.Tech, Computer Science
January 1, 2005 – January 1, 2007
University of Hyderabad
M.Sc, Mathematics
January 1, 2003 – January 1, 2005
Staff Software Engineer/TLM
March 1, 2021 – Present
Washington, United States
Staff Software Engineer
July 1, 2019 – March 1, 2021
Greater Seattle Area
Amazon Web Services
Senior Software Engineer, Artificial Intelligence
September 1, 2017 – July 1, 2019
Greater Seattle Area
Amazon
Software Development Manager
April 1, 2013 – April 1, 2014
Greater Seattle Area
Amazon
Senior Software Engineer (SDE III)
June 1, 2009 – July 1, 2019
Greater Seattle Area
Versata
Associate Development Manager
February 1, 2009 – June 1, 2009
Versata
Techinal Analyst
March 1, 2008 – January 1, 2009
Yahoo!
Senior Software Engineer
January 1, 2007 – January 1, 2008
EPAT - Certificate of Excellence
QuantInsti Quantitative Learning Pvt Ltd
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked at several of the world's largest and most innovative tech companies (Google, Facebook, Amazon, Yahoo!), suggesting adaptability to high-performance, fast-paced, and data-driven environments. The experience spans various domains including AI, which indicates a breadth of technical interests. However, the lack of specific project details makes it difficult to assess diversity of thought or specific contributions to team culture beyond general leadership. The target role of 'Big Data Engineer' aligns well with the candidate's AI/ML and data-intensive system experience, indicating a good technical cultural fit.
Soft Skills & Operational Fit
The candidate's career progression to Staff Software Engineer/TLM and Software Development Manager roles at major tech companies indicates strong leadership, project management, and team collaboration skills. The description of leading the development of an 'AI and Data flywheel' suggests a proactive approach to system design and operational excellence. However, without specific project details or behavioral assessment data, a deeper analysis of soft skills and operational fit is limited.