Experience

Cloudera

• United States
• Software Development
• 700 & Above Employee

• Software Engineer

  • Sep 2021 - Present



Systems Imagination, Inc.

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer

  • Jul 2019 - Aug 2021

  • Built a hypergraph database consisting of 5.2M hyper nodes, from cancer-specific knowledge resources (PubChem, Pharos, TCGA, etc.) to discover novel cancer drug targets using cognitive computing and machine learning. Implemented parallel search and sort algorithms for high-speed search results for large queries in the 440 Million protein-coding gene pairs hypergraph. • Built an algorithm to predict synthetic lethal triplets from trigenic interactions of the human genes using self-attention-based graph neural networks for hypergraphs. • Built a cancer database from raw data sources (mice testing labs) and performed artificial neural network-based trend analysis to discover mice’s behavior patterns. Show less



Ira A. Fulton Schools of Engineering at Arizona State University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Service Assistant

  • Jan 2019 - May 2019

  Assisted Professor Gonzalez with SER 594: Human-Computer Interaction by conducting in-class activities, grading projects, assignments, and pop quizzes. Helped students understand the concepts of prototyping, usability principles, heuristics, and mental models.

• Graduate Service Assistant

  • Aug 2018 - Dec 2018

  Assisted Professor Kobayashi and Professor Khaliqi with Principles of Programming. Graded assignments, exams, quizzes and held regular office hours for students.



Systems Imagination, Inc.

• United States
• Software Development
• 1 - 100 Employee

• Software Engineering Intern

  • Jun 2018 - Aug 2018

  1) Predicted diseases like Coagulation, Thrombosis, Satiation, proteins-food consumed relationships in the Astar medical data using deep learning models and modeled the analysis into a temporal knowledge representation hypergraph which has 3 million nodes. 2) Worked on building an application that predicts the user's genomic score based on genotype and microbiome concertation in the user’s body. 1) Predicted diseases like Coagulation, Thrombosis, Satiation, proteins-food consumed relationships in the Astar medical data using deep learning models and modeled the analysis into a temporal knowledge representation hypergraph which has 3 million nodes. 2) Worked on building an application that predicts the user's genomic score based on genotype and microbiome concertation in the user’s body.



Arizona State University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Student Researcher

  • Sep 2017 - May 2018

  Developed a system to generate a description of videos using neural networks. The system is trained using CNN and LSTM models. This system can be used for context based classification of video clips for advertising. Developed a system to generate a description of videos using neural networks. The system is trained using CNN and LSTM models. This system can be used for context based classification of video clips for advertising.



Sri Venkateswara College of Engineering

• India
• Higher Education
• 400 - 500 Employee

• Research Assistant - Cloud Security & Cloud Provisioning

  • Sep 2015 - Mar 2017

  Worked on creation of a security standard that increases the security while accessing the information from the cloud server. This was implemented using a matrix based advanced Cramer-Shoup cryptosystem.Built a mechanism that helps the client choose the best service provider based on statistical records of the cloud service provider. The system aims at minimizing the risk using Eclat algorithm.

• Research Assistant - Data Mining

  • Mar 2016 - Nov 2016

  Developed a model that can predict 911 calls in each geological area using clustering, spatial analysis, hotspot analysis, Heatmaps. This analysis helps the strategy makers anticipate the call occurrences and enables them to effectively handle the emergency by appropriate allocation of emergency responders and resources.



Jasmin Infotech

• India
• Embedded Software Products
• 500 - 600 Employee

• Application Developer Intern

  • Dec 2015 - Jan 2016

  -Developed a cross-platform media player with increased flexibility and universal format support. -Designed the player to compress media files and reduce the time taken for decoding. -Developed a cross-platform media player with increased flexibility and universal format support. -Designed the player to compress media files and reduce the time taken for decoding.



Larsen & Toubro MHPS

• Hazira - Surat, India

• Full-stack Developer Intern

  • May 2015 - Jul 2015

  -Developed an authorization application to store, track and process material receipts by personnel at the factory. -Implemented a job time card prototype to record employee assignment and working hours every day. -Developed an authorization application to store, track and process material receipts by personnel at the factory. -Implemented a job time card prototype to record employee assignment and working hours every day.