Machine Learning Engineer @ Pixis | IIT Ropar | Generative AI | LLMs
4 Years of Experience
Bengaluru, Karnataka, India
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Not Available
I work in Research and Development (R&D) team and am responsible for conducting experiments, developing and training deep learning models, writing algorithms, designing experiments, and creating prototypes of new technologies or products related to deep learning. I have experience working with state-of-the-art models in the fields of computer vision and audio generation. I also have expertise in generating APIs for trained models, allowing for easy deployment and integration into our work. With a passion for staying up-to-date on the latest developments in deep learning and machine learning, I am always looking for opportunities to grow and learn.
Pixis, SaaS/Cloud Product, Computer Software
Kroop AI
PredOmix Technologies Pvt. Ltd.
Pixis, Kroop AI, PredOmix Technologies Pvt. Ltd., The Sparks Foundation, Robotics Club IIT Ropar, Advitiya IIT Ropar, Indian Institute of Technology, Ropar
Job Title : Machine Learning Engineer
Company name : Pixis
Period : June 2022 - Present
Summary : – Ideated and implemented Generative AI pipeline for product ad generation in diverse environments using text-to-image, upscaling, and inpainting models; optimized pipeline time efficiency by 43%, integrated relational database for real-time monitoring; enhanced speed by 30% via queuing mechanism for component parallelization.
– Collaborated with a cross-functional team to develop production-ready LLM pipeline that empowered users with the ability to refactor the ads solely through natural language instructions; achieved a 37% decrease in token usage; designed the pipeline to generate the entire ad in one go, decreasing the discard rate of ads by 23%.
– Developed a Facebook Text Ad generation pipeline leveraging Large Language Models and a Chain of Thought approach, capable of reading web content and existing creative copies to produce 10 high quality ads within 7 seconds.
– Spearheaded the design and execution of innovative technology experiments, including deep learning model training, algorithm development, prototyping, and the creation of APIs for numerous models, as well as the containerization of machine learning models for efficient production deployment.
Location : Bengaluru, Karnataka, India
Job Title : Research Intern
Company name : Kroop AI
Period : July 2021 - May 2022
Summary : – Created, preprocessed and analyzed a call recording dataset from scratch.
– Worked on full lifecycle of ML development including data collection, feature engineering, model training, offline and online experimentation of Text-to-Speech methods.
– Worked on state-of-the-art Text to Speech methods in less training data settings.
Job Title : Machine Learning Intern
Company name : PredOmix Technologies Pvt. Ltd.
Period : May 2021 - July 2021
Summary : – Worked with a low sample size and very high dimensional sparse spectrometry data for cancer classification.
– Implemented Compressed Sensing based methods to reduce the dimensionality of the data.
– Used different augmentation techniques to increase samples from 1.9k to 9k.
– Applied ML algorithms to establish a baseline model for the dataset with an accuracy of 82.01% on test data.
Job Title : Computer Vision & IoT intern
Company name : The Sparks Foundation
Period : January 2021 - January 2021
Job Title : Mentor
Company name : Robotics Club IIT Ropar
Period : September 2019 - January 2021
Job Title : Event Coordinator
Company name : Advitiya IIT Ropar
Period : February 2020 - February 2020
Summary : Coordinated:
Robosoccer
Henchmen : line follower
Micromouse : maze solver
Location : Rupnagar, Punjab, India
Job Title : Research Intern
Company name : Indian Institute of Technology, Ropar
Period : July 2019 - November 2019
Summary : – Worked with Autoencoders and Generative Adversarial Networks (GANs) to enhance low light images from the LOw-Light dataset (LOL).
Location : Rupnagar, Punjab, India
Title : Deep Learning Specialization
Period : June 2020 - Present
Summary : coursera.org, https://coursera.org/share/4d9dc6df1664b3f7a7d8114a520f22ba
Issuing Authority : deeplearning.ai
Title : Sequence Models
Period : June 2020 - Present
Summary : coursera.org, https://coursera.org/share/5b81aa0a59b088b456c6071b57678665
Issuing Authority : Coursera
Title : Convolutional Neural Networks
Period : May 2020 - Present
Summary : coursera.org, https://coursera.org/share/d821a28bc61b575e7ebd72c0ca00777f
Issuing Authority : Coursera
Title : Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Period : May 2020 - Present
Summary : coursera.org, https://coursera.org/share/68b771e4776d2503f11c8edc8ab85503
Issuing Authority : Coursera
Title : Structuring Machine Learning Projects
Period : May 2020 - Present
Summary : coursera.org, https://coursera.org/share/dddb75b93f6fb36530777702978123b3
Issuing Authority : Coursera
Title : Neural Networks and Deep Learning
Period : April 2020 - Present
Summary : coursera.org, https://coursera.org/share/ee088c3f0d1117c82b3add851d59fb83
Issuing Authority : Coursera
Title : Programming, Data Structures and Algorithms using Python
Summary : google.com, https://drive.google.com/open?id=13_FjwaESn0XyIg0u2pnp7VAv0RLI4fw6
Issuing Authority : Indian Institute of Technology, Madras
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