Help & Supportcareers@gravityer.com
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 ML Scientist @SAP AI | Machine Learning Researcher | Opensource Creator | Motion Graphics Designer
With a passion for innovation and a relentless pursuit of excellence, I am a seasoned software engineer specializing in machine learning and artificial intelligence. My journey began with humble roots, overcoming obstacles and challenges that have shaped me into the professional I am today. During my tenure at companies like Delhivery, Anthem Inc., and TikTok, I had the privilege of working on high-impact machine learning projects that drove innovation and scalability. From designing and implementing state-of-the-art algorithms to deploying robust ML solutions at scale, I have garnered invaluable experience in leveraging cutting-edge technologies to solve complex problems. At Delhivery, I played a pivotal role in developing machine learning models to optimize logistics and supply chain operations, driving efficiency and cost-effectiveness. My contributions at Anthem Inc. involved harnessing the power of data and AI to enhance healthcare outcomes, leveraging advanced predictive analytics to improve patient care and operational efficiency. During my time at TikTok, I had the opportunity to work on scalable ML projects that powered personalized content recommendations and user engagement strategies. Through collaborative efforts and innovative thinking, I contributed to enhancing the platform's algorithms, resulting in a more tailored and immersive user experience. Beyond my professional endeavors, I am deeply committed to advancing the field of machine learning through continuous learning and knowledge sharing. I actively participate in research and development initiatives, staying abreast of the latest advancements in AI and ML technologies. As I continue to embark on my journey, I am driven by a passion for leveraging technology to solve real-world challenges and make a positive impact on society. Join me as I push the boundaries of machine learning, one groundbr
Indiana University Bloomington
Master of Science - MS, Computer Science
August 1, 2021 – May 1, 2023
Indian Institute of Information Technology Design & Manufacturing, Kurnool
Bachelor of Technology, Computer Science & Engineering
January 1, 2016 – January 1, 2020
Aklank Public School
Intermediate, Mathematics
January 1, 2014 – January 1, 2016
Vividhlaxi Vidyamandir
Secondry and Primary Education
January 1, 2012 – January 1, 2014
SAP
Senior Machine Learning Scientist
August 1, 2024 – Present
Palo Alto, CA · Hybrid
ByteDance
Machine Learning Engineer
June 1, 2023 – August 1, 2024
San Jose, California, United States · On-site
Indiana University Bloomington
Research Assistant
August 1, 2022 – December 1, 2022
Bloomington, Indiana, United States
TikTok
Machine Learning Intern
May 1, 2022 – August 1, 2022
Mountain View, California, United States
Indiana University Bloomington
Associate Instructor
August 1, 2021 – May 1, 2023
Bloomington, Indiana, United States
Indiana University Bloomington
Provost Multimedia Intern
August 1, 2021 – May 1, 2023
Bloomington, Indiana, United States
Elevance Health
Associate Artificial Intelligence Engineer
May 1, 2020 – August 1, 2021
Hyderabad, Telangana
Delhivery
Applied Data Science Research Intern
May 1, 2019 – September 1, 2019
Gurgaon, India
Muffito INC.
Android & Machine Learning Developer
May 1, 2018 – October 1, 2018
FreeCopy
Android Developer
November 1, 2017 – December 1, 2017
Ahmedabad Area, India
Explainable CNNs
March 1, 2022 – Present
PyTorch based visualization package for generating layer-wise explanations for CNNs.
React Awesome Shapes
January 1, 2022 – Present
Insert Awesome Shapes into Your React Site with Ease.
Neuro Symbolic Sudoku Solver
November 1, 2021 – Present
Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
React LiquidSwipe
April 1, 2021 – Present
Smooth Liquid Swipe Animation to transition between different components.
React Awesome Loaders
March 1, 2021 – Present
High quality, super responsive and completely customisable Loading Animations to insert into your website with single line of code.
MasterPortfolio
March 1, 2020 – Present
The Complete Customizable Software Developer Portfolio Template which lets you showcase your work and provides each and every detail about you as Software Developer.
Unsupervised Anomaly Detection in Web Click Stream Data
December 1, 2018 – January 1, 2019
Objective : Search for the anomaly in click stream data given. According to my knowledge, we can apply different approaches and algorithms to identify different types of anomalies as follows. Collective Anomalies : Cluster, Isolation Forest, One Class SVM Contextual Anomalies : Cluster + Point Anomaly Methods Point Anomalies : Elliptic Envelope Ordered Anomalies : Markov Chain, RNN Collective Ordered anomalies : cluster + markov chain Since, we are not given any output variable and also we don't have specific information to find the output variable. This is case of Unsupervised Learning. We also don't have information about which type of anomalies the given data have. Therefore, I have checked for anomalies in the data for 5 Algorithms. Since there is high possibility that the anomalies can be collective, I have taken K-means clustering, Isolation Forest and One Class SVM into consideration. If collective anomalies are of type point categorical, then I have used Elliptic Envelope. To check Ordered anomalies, I have used RNN. RNN will predict one feature based on rest features. And if prediction is highly erronious in some points, then it will consider them as anomalies.
Stock Price Prediction and Time Series Analysis for 32 Companies
November 1, 2018 – December 1, 2018
This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks. I have not used pre-built models. I have trained LSTM NN models for All 32 companies listed below. The data considered here is of 2 years for all companies. From (1 Nov,2016) to (31 Oct,2018). I have developed the project step by step. Information about each step is described in the README file of github repository.
Facial Emotion Recognition
September 1, 2018 – October 1, 2018
This project uses the transfer learning of pre trained CNN model.
Neural Artistic Style Transfer
September 1, 2018 – October 1, 2018
Transferring Style of style image to content image
Face Detection and Recognition
August 1, 2018 – September 1, 2018
I have used OpenCV library in python. I have programmed this project such that it is detecting faces both in images as well as videos. I have also put the facility to add images of anybody else. Photos will be stored in the people folder with the folder of your name. Then, algorithm will train the model based on all images stored in the people folder. And now, whenever you give the image or video, It will detect the face and shows the name of person if the images of the person is stored in the people folder, otherwise shows Unknown. I have used three different algorithms to detect faces in images. (1) Eigen Faces (2) Fisher Faces (3) LBPH Faces I have used LBPH Faces algorithm to detect faces in Videos.
Image Compression
August 1, 2018 – September 1, 2018
This Project contains the implementation of K-means algorithm to compress the image. K-means algorithm is an unsupervised learning algorithm and used to form clusters and used here for dimensionality reduction.
Portfolio Website
August 1, 2018 – September 1, 2018
This is my portfolio Website.
Email Spam Detection
August 1, 2018 – September 1, 2018
My own implementation of Support Vector Machine Algorithm. I have also built the model for pre-built SVM algorithm in sklearn.
Weather Bot
July 1, 2018 – August 1, 2018
This is a chatbot which gives the weather conditions from the name of city or place deployed on slack. This project is using Rasa plateform to implement dialog flow using Rasa-Core and Rasa-nlu.
Sample Chat bot for shop
July 1, 2018 – August 1, 2018
Project is built using tensorflow and tflearn and is a contextual bot for shop. If we provide large data in intents.json then it will learn to communicate in other contexts too.
Game Review Predictor
July 1, 2018 – Present
Implementation of Two Machine Learning models to predict Review for Board Games. I have used two algorithms for this. (1) LinearRegression (2) RandomForestRegressor
Credit Card Fraud Detection
May 1, 2018 – June 1, 2018
Implementation of Two Machine Learning models to detect Fraud in Credit Card Transaction. I have used two algorithms for this. (1) IsolationForest (2) LocalOutlierFactor
Student Portal
February 1, 2018 – March 1, 2018
Project is completely Integrated by Firebase using various features as Authentication, Database, Analytics, Notifications etc. Main purpose of this project is that any student can raise any question and can get answer very quickly.
ChatUp - The Life is all about Interacting
December 1, 2017 – March 1, 2018
Project is completely Integrated by Firebase using various features as Authentication, Database, Analytics, Notifications etc. UI is built using XML and functionality is implemented in Java. I have used many platforms like OneSignal, Vidyo.io etc.
Laychats Android Chatting App
December 1, 2017 – January 1, 2018
Objective : Learning of Chatting and Setting up the Communiacation medium Between the users. This App is built using Volley and stores the data on Firebase Real Time Database. Functionality of Message communication is perfectly working in this Project. But still I am working on Additional UI development and Firebase Analytics.
BigInteger in C++
September 1, 2017 – Present
Objective : C++ does not have inbuilt class to handle large number of digit number. This project implements the BigInteger class in C++ using structure and class. Using BigInteger , it nds the large values of modied Fibonocci Series.
IMDB Movies Counter
May 1, 2017 – July 1, 2017
Objective : Gathering information of new movies and top rated movies with full description and with Posters, cast crew. It uses Highly Optimized Webservices using secured HTTP request passing and Dynamic layout with elegant DataBase.
ToDo List
May 1, 2017 – June 1, 2017
Objective : It is a reminder app which stores the description of event with date time and reminding at the time. Dynamic Layout with DataBase usage.
Snake Game
August 1, 2016 – November 1, 2016
Objective : Learning Graphics in C language to handle Dynamic Activities. It also uses counting techniques of scores and storage of High Scores.
Cloud Architecture
June 23, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI
June 23, 2026 – Present
Production Machine Learning Systems
June 23, 2026 – Present
Feature Engineering
June 23, 2026 – Present
Launching into Machine Learning
June 23, 2026 – Present
How Google does Machine Learning
June 23, 2026 – Present
Python for Data Science
Coursera
June 23, 2026 – Present
Open Source tools for Data Science
Coursera
June 23, 2026 – Present
What is Data Science?
Coursera
June 23, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 23, 2026 – Present
Front-End Web Development with React
Coursera
June 23, 2026 – Present
Convolutional Neural Networks in TensorFlow
DeepLearning.AI
June 23, 2026 – Present
Kubernetes in the Google Cloud
June 23, 2026 – Present
Sequence Models for Time Series and Natural Language Processing
June 23, 2026 – Present
Intro to TensorFlow
June 23, 2026 – Present
Applied Data Science Capstone
IBM
June 23, 2026 – Present
Machine Learning with Python
Coursera
June 23, 2026 – Present
Data Visualization with Python
Coursera
June 23, 2026 – Present
Data Science Methodology
Coursera
June 23, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 23, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 23, 2026 – Present
Baseline: Infrastructure
June 23, 2026 – Present
Image Understanding with TensorFlow on GCP
June 23, 2026 – Present
Machine Learning with TensorFlow on Google Cloud Platform Specialization
June 23, 2026 – Present
Art and Science of Machine Learning
June 23, 2026 – Present
Advanced Machine Learning and Signal Processing
IBM
June 23, 2026 – Present
Fundamentals of Scalable Data Science
IBM
June 23, 2026 – Present
IBM Data Science Professional Certificate Specialization
IBM
June 23, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 23, 2026 – Present
Google Android Development Certificate
AcadGild
June 23, 2026 – Present
Front-End Web UI Frameworks and Tools: Bootstrap 4
Coursera
June 23, 2026 – Present
Understanding and Visualizing Data with Python
Coursera
June 23, 2026 – Present
Networking in the Google Cloud
June 23, 2026 – Present
End-to-End Machine Learning with TensorFlow on GCP
June 23, 2026 – Present
Applied AI with DeepLearning
IBM
June 23, 2026 – Present
Transforming Big Data into Intelligent Actions using Advanced Analytics
Microsoft
June 23, 2026 – Present
Data Analysis with Python
Coursera
June 23, 2026 – Present
Databases and SQL for Data Science
Coursera
June 23, 2026 – Present
Sequence Models
DeepLearning.AI
June 23, 2026 – Present
Machine Learning
Coursera
June 23, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from deep learning applications to web development and Android apps, indicates a broad interest and adaptability. Their experience at large tech companies like ByteDance and SAP, combined with academic research and teaching roles, suggests a well-rounded individual who can thrive in various environments. The focus on cutting-edge AI/ML aligns well with a forward-thinking, innovative culture.
Soft Skills & Operational Fit
The candidate's experience as an Associate Instructor and Research Assistant at Indiana University Bloomington suggests strong communication and collaboration skills. Their diverse project portfolio indicates a proactive and self-driven approach to learning and problem-solving. The descriptions of optimizing models and building scalable frameworks imply an operational fit for roles requiring efficiency and system thinking.