Uday Theja

Distributed Systems , Cloud Computing , Software Engineering , Big Data , Artificial Intelligence

Languages: Python, Golang, C, C++, Java, Javascript, React.js, Ruby, R, Matlab, Scala, SQL, HTML, CSS

Toolsets/OS: Ubuntu, MacOS, Git/GitHub, LATEX

Libraries & Frameworks: CUDA, OpenMP, OpenMPI, Django, Rails, Open vSwitch, AWS, Tensorflow, Theano

Columbia University

Master of Science in Computer Science

Distributed Systems
Cloud Computing and Big Data
Software as a Service
Analysis of Algorithms
Databases

CGPA: 3.835/4.0

2021 - 2023

New York, US

Indian Institute of Technology, Madras

B.Tech. & M.Tech. in Computer Science & Engineering

Cloud Computing
GPU Programming
Principles of Software Engineering
Data Structures and Algorithms
Cryptography & Network Security
Concurrent Programming
Computer Networks
Operating Systems
Compilers
Databases
Pattern Recognition
Deep Learning

CGPA: 8.19/10.0

2014 - 2019

Chennai, IN

Narayana Junior College

XIIth Std. (AP State Board)

Percentage: 98.7%

2012 - 2014

Hyderabad, IN

Bharatiya Vidya Bhavan Public School

Xth Std. (CBSE)

CGPA: 10.0

2002 - 2012

Hyderabad, IN

Dyadic Human Interaction Recognition from Videos using Multi-layer 3D CNN

International Journal on Emerging Technologies (IJET)

Subetha T. , Chitrakala S. and Uday Theja M.

www.researchtrend.net/ijet/pdf/Dyadic%20Human%20Interaction%20Recognition%20from%20Videos%20using%20Multi-layer%203D%20CNN%20Subetha%20T%202621.pdf

The proposed DHIR system recognizes the interactions of humans with reduced misclassification rate and minimal processing time compared to the benchmarking datasets for various interactions.
It achieves 94.78% and 93.394% for SBU kinect interaction dataset and AU-Interaction dataset respectively.

May 2020

Fusion-based Gaussian Mixture Model for Background Subtraction from Videos

International Journal of Computer Applications in Technology (IJCAT), Inderscience

Subetha T. , Chitrakala S. and Uday Theja M.

The proposed FGMM background subtraction algorithm extracts the foreground from videos invariant to illumination, shadows, and the dynamic background by exploiting the Jeffries-Matusita distance, weighted euclidean based color similarity and color distortion measures.
It shows a high recall rate of 97.36% for illumination video sequences.

May 2020

Software Developer

Nutanix

www.nutanix.com

Nutanix is a cloud computing company that provides hyper-converged infrastructure solutions.
Spearheaded an Identity Access Management (IAM) framework utilizing Attribute-Based Access Control (ABAC) to authorize user actions and provide data security.
Devised a packet snooping mechanism leveraging PCAP to capture network information dynamically. Engineered large-scale artificial network traffic utilizing Scapy, and compared the performance between C and Golang prototypes.
Engineered several health checks for the networking entities addressing around 500 customer cases. Diagnosed the networking data path issues during customer on-calls.
Enhanced the network controller and implemented a scale limiting mechanism.
Built a VM name resolution service for the on-premises deployments and won the annual Nutanix hackathon under the 'Hybrid Cloud' category.

Jul 2019 - Aug 2021

Bangalore, IN

Research Intern - Distributed Machine Learning

Indian Institute Of Technology, Hyderabad

www.iith.ac.in/~ckm/

Microsoft funded research under the guidance of Dr. C. Krishna Mohan, Professor, CSE department, IIT Hyderabad.
Implemented a communication avoiding fully distributed support vector machine which learns from multiple corpora of sensitive data with different parties without sharing the data to each other.
Implemented distributed parallel algorithms for the existing sequential K-Means++ and GMM algorithms for big data.

Dec 2017 - Jan 2018

Hyderabad, IN

Google Summer Of Code 2017

FOSSASIA

summerofcode.withgoogle.com/archive/2017/projects/4703316948811776/

Developed web applications capable of chat and voice interaction and a content management system from scratch, for SUSI.AI, an intelligent open source personal assistant.
Auto deployed the server on Google Cloud with Kubernetes such that on every commit pushed to the github repository, using Travis CI, a new docker image is built and the docker hub image and cloud deployment get updated.

May 2017 - Aug 2017

Work From Home

Data Analytics Intern

American Express

www.americanexpress.com/in/

Part of the Fraud Decision Science, RIM CoE Team.
Developed a robust prediction system that analyzed the historical FICO scores and forecasted the scores in the future to identify potential defaulters, by using techniques like: ETS, ARIMA, Regression, Neural Networks.
Received a Pre-Placement full-time job offer for the exceptional work.

May 2017 - Jul 2017

Gurgaon, IN

Web Development Intern

MyAlly.ai (Formerly Skedool.it)

www.myally.ai/

Worked on an AI powered assistant for enterprise talent lifecycle management.
Developed the backend for email interface, creating and editing calendar events using GMAIL and Nylas APIs.
Created a facebook messenger bot which uses webhooks to reply to a customer.

May 2016 - Jul 2016

Hyderabad, IN

Teaching Assistant

Programming and Data Structures Lab, CSE Department, IIT Madras

www.cse.iitm.ac.in/~jayalal/teaching/home.php?courseid=53

Being a TA, I got the opportunity to take lectures, conduct tutorial sessions and practically communicate the nitty-gritties of advanced coding to the juniors.
I have also assisted my professor in designing the lab assignments, conducting the examinations and evaluating the submissions.

Jul 2018 - Nov 2018

WebOps (Web Operations) Core

Exebit - 2018, IIT Madras

exebit.in/

Exebit is the annual technical fest of CSE Department, IIT Madras.
I was head of the WebOps (Web Operations), leading a team of 7 fellow and junior developers responsible for creating the fest website responsible for displaying events schedule, managing user accounting and registrations.
We developed the end to end website from scratch, deployed it and managed it for the duration of the fest.

Sep 2017 - Feb 2018

Hospitality Coordinator

Saarang - 2016, IIT Madras

www.saarang.org/

Saarang is the annual cultural fest of IIT Madras.
Part of a team of 30, responsible for coordinating the participant registrations, providing accommodation and necessary facilities to ensure a pleasant experience for both the participants and the guests.

Aug 2015 - Jan 2016

Finance And Sales Coordinator

Shaastra - 2016, IIT Madras

www.shaastra.org/

Shaastra is the annual technical fest of IIT Madras.
Part of a team of 20, responsible for designing goodies and t-shirts, managing their production and sale, and handling the fest budgeting.

Aug 2015 - Jan 2016

Deputy Placement Coordinator, CSE Department

Placement Team, IIT Madras

placement.iitm.ac.in/

Handling the annual Placement season at IIT Madras, held in December.
I got to interact with a variety of companies, co-ordinate their travel and accommodation, help in conducting the placement tests and facilitate a smooth placement process.

Aug 2015 - Apr 2016

MITR Mentor

MITR (Mentoring for Individual Transformation), IIT Madras

dost.iitm.ac.in/mitrdemo/

MITR is an initiative aimed at guiding and counseling students during their stay at IIT Madras.
MITR also organizes various activities in relation to the orientation of fresh students to IITM life and to spread awareness about the importance of mental health.
Mentor for 7 freshman students.

Aug 2015 - Apr 2016

JEE-Advanced 2014

Secured All India Rank 334 (99.97 percentile) in JEE-Advanced 2014 (formerly IIT-JEE) examination.

JEE Mains 2014

Secured All India Rank 58 (99.99 percentile) in JEE-Mains 2014 examination.

EAMCET 2014

Secured State Rank 137 (99.90 percentile) in EAMCET, Andhra Pradesh Engineering Entrance Test.

Available upon request

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