Help & Supportcareers@gravityer.com
SDE- III | Context Graphs | Agentic AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about solving challenging problems. I am a full stack Engineer, leveraging Machine Learning, NLP and Computer Vision skills to craft data-driven solutions. I am skilled in graph data and semantic solutions. Also, I like to build front-end and data visualization projects. https://monil-shah.com
New York University - Polytechnic School of Engineering
Master's degree, Computer Science
January 1, 2016 – January 1, 2018
L.D. College of Engineering
Bachelor of Engineering (B.E.), Computer Engineering
January 1, 2012 – January 1, 2016
Amazon Web Services (AWS)
Senior Software Development Engineer
March 1, 2026 – Present
Jersey City, New Jersey, United States
Amazon Web Services (AWS)
Software Development Engineer II
September 1, 2022 – March 1, 2026
Jersey City, New Jersey, United States
Circulo Health
Engineering Manager, AI Research
December 1, 2021 – September 1, 2022
New York City Metropolitan Area
Circulo Health
Senior Software Engineer, Knowledge Graph Lead
August 1, 2021 – December 1, 2021
New York City Metropolitan Area
TigerGraph
Solution Architect/ Software Engineer
December 1, 2020 – August 1, 2021
New York City Metropolitan Area
Columbia University in the City of New York
Associate Faculty
August 1, 2018 – July 1, 2019
New York, New York
Jefferies
Assistant Vice President/Graph Data Engineer
July 1, 2018 – November 1, 2020
Greater New York City Area
Sotheby's
Machine Learning Intern
June 1, 2018 – July 1, 2018
New York City Metropolitan Area
New York University
Graduate Teaching Assistant (Deep Learning and Computer Vision)
January 1, 2018 – May 1, 2018
New York City Metropolitan Area
Viacom
Machine Learning Intern
January 1, 2018 – May 1, 2018
New York, New York
Bayesquare Foundation
Machine Learning Research Intern
September 1, 2017 – December 1, 2017
New York City Metropolitan Area
NYU Tandon School of Engineering
Graduate Research Assistant - NYU ViDA Lab
June 1, 2017 – January 1, 2018
New York City Metropolitan Area
KCS - Krish Compusoft Services
Software Developer Internship
January 1, 2017 – May 1, 2017
United States
Timeloop
Game Developer Intern
June 1, 2015 – June 1, 2016
Greater Vadodara Area
L.D. College of Engineering
Event Manager
February 1, 2015 – March 1, 2015
Greater Ahmedabad Area
HawkEye ( Computer Vision Project)
January 1, 2017 – May 1, 2017
The objective of the project is to track the movement of ball and predict their trajectory. This technique is known as HawkEye. This technique is implemented in this project using computer vision techniques like Optical Flow using Farneback algorithm and Kalman Filter Path prediction. In addition, we also calculate and display the Optical Flow vector field results in this project. For tracking the object or ball we used HSV color detection for the green color ball detection. Furthermore, we used input videos to perform the experiment. Finally, the result videos are also provided along with this report.
Soccer Match Outcome Prediction (Data Science Project)
January 1, 2017 – April 1, 2017
The goal of this project is to try to predict the outcome of european football matches using open data. We use current team form, team statistics, previous encounters and bookie predictions to train our model. The target of prediction is match outcome which can be represented as home win, away win or draw (H/A/D).
Trends of Programming Languages by analyzing Github, Stack Overflow and Indeed Data(BigData Project)
September 1, 2016 – Present
New Programming languages are constantly being developed, and old ones frequently changed. It is paramount for a developer to keep up with these changes and learn to program with emerging technologies. In this paper we use Github, StackOverflow and Indeed data to study the community of programming languages, current trends, easy of adoption and usage in industries.
Clinical Research Analysis ( Machine Learning Research Project)
September 1, 2016 – November 1, 2016
Technologies: Java MapReduce, Python, SAS, Hive, Apache Spark,Scala, MlLiB, NYU HPC Cluster DataSet : National Health H-cup Data Set(NIS) • Comparing Cardiology patients with DES and BMS procedures and finding the trends of Mortality rate , morbidity rates on basis of it.
Master of Science in Computer Science
New York University
June 24, 2026 – Present
Tigergraph- Graph Algorithms for Machine Learning
TigerGraph
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Tigergraph GSQL
TigerGraph
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from Big Data analysis to Computer Vision and Machine Learning, demonstrates a broad interest in data-driven problem-solving. Their experience at companies like AWS and Jefferies, along with academic roles, suggests an ability to adapt to different organizational cultures. The target role of 'Data Analyst' aligns well with their extensive analytical and data science background, indicating a good cultural fit for a data-centric environment. However, the career progression from SDE to Engineering Manager and then back to SDE, and the target role being 'Data Analyst' despite senior engineering roles, might warrant further exploration during an interview to understand career aspirations and motivations.
Soft Skills & Operational Fit
The candidate's resume indicates experience in teaching and managing teams (Engineering Manager, AI Research; Associate Faculty; Graduate Teaching Assistant; Event Manager), suggesting strong communication and leadership potential. The diverse project portfolio also implies adaptability and a proactive learning attitude. However, without specific assessment data on soft skills, this remains an inference.