Nilesh Vaghela
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
Senior Distributed System Engineer at NVIDIA
Speciality Areas : - IoT/MQTT - Cloud Technology - Content Distribution - Content Acceleration - Digital Signage - Computer Vision - Deep learning CNN - Ad Engine in C-Store/QSR/Retail - Recommendation Engine - Big Data Analytics (Apache Spark/Hadoop/HDFS/Cassandra/Kafka) - Traditional and AI/ML/DL Recommendation Engine Expert in: Asynchronous Event driven, High Performance, Fault Tolerant and Scalable Distributed and Parallel Network System Programming, Zero Copy Async Disk IO, High Performance File System, Content Distribution (Unicast/Multicast), Web Content Acceleration/Caching, Digital Signage, Content Security/Filtering, CDN, Centralized Device Configuration and Apps Management and Suggestive Sell Lift Engine. Developed applications HTML5, Javascript, Async frameworks (Angular), Go-lang, Python, C#, Java. Porting native C/C++ applications on ARM based Embedded Linux including Android/iOS/Ubuntu. Computer Vision OpenCV Image Processing/Blob tracking / Segmentation of Foreground from Background/Template Matching algorithms. Gesture based Interactive Content Engine using 3D Depth Based cameras. Customer Engagement, Audience Measurement, Big Data Analytics, Hadoop, HDFS, Apache Spark, Apache Spark Streaming, Kafka streaming, Hive, Parquet, ORC, Apache Cassandra, HBASE, PySpark (Python)
University of Houston
MS, computer science
January 1, 1999 – January 1, 2002
Rice University
Master's degree - Thesis, Computer Science
January 1, 1999 – January 1, 2002
University of Mumbai
Bachelor's degree, Electrical and Electronics Engineering
January 1, 1992 – January 1, 1996
NVIDIA
Senior Distributed System Engineer
April 1, 2021 – Present
Santa Clara
Infiswift Technologies
Engineering Lead
June 1, 2019 – August 1, 2020
Milpitas, California, United States
Stratacache Inc.
Principal Software Engineer - ML/ DL / Predictive Modeling
January 1, 2019 – Present
STRATACACHE
R&D Enginee Computer Vision / AI
June 1, 2016 – December 1, 2018
dRSTi Communications
Senior Distributed Software Engineer
January 1, 2016 – January 1, 2018
San Jose, California, United States
STRATACACHE
Distinguished Engineer
January 1, 2015 – June 1, 2016
STRATACACHE
Lead Software Engineer
May 1, 2005 – December 1, 2014
iMimic networking Inc.
Lead Software Engineer
March 1, 2002 – May 1, 2005
University Of Houston
Graduate Assistant
September 1, 1999 – March 1, 2002
CBSI Inc
Senior Software Engineer
February 1, 1998 – September 1, 1999
Tata Infotech
Software Engineer
October 1, 1996 – February 1, 1998
Mumbai Metropolitan Region
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on complex technical challenges, including distributed systems, AI/ML, and data processing, which aligns well with the demands of a Big Data Engineer role. The diversity of projects, from IoT in oil and gas to digital signage and content distribution, indicates a broad interest and ability to adapt to different industry contexts. The long tenure at STRATACACHE suggests loyalty and the ability to grow within an organization. However, the lack of explicit team collaboration or project management details in the descriptions limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's extensive experience across various companies and roles, including lead and principal engineer positions, suggests strong leadership potential, problem-solving abilities, and adaptability. The descriptions of working on cutting-edge algorithms and integrating diverse systems indicate a proactive and innovative approach. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.