
Akshay Bahadur
Senior MLE @ Yahoo! | CMU '22 | x²-x+41
Updated 8 months ago
10+
Years Experience
8
Roles
42
Skills
2
Education
About
* Applied research engineer with 5 years of work experience in Machine Learning/ Big Data and a proven track record of developing large-scale data systems, including implementation of Machine Learning at Scale solutions in the Core Tech, E-Commerce & CyberSecurity industries. * Developed an Indian Sign Language and Recognition System (ISLAR) for spreading awareness and helping the deaf and mute community in India. This effort got featured in multiple publications/blogs/newsletters including getting covered by Google in a youtube video. * Delivered 50+ keynotes/sessions/demonstrations covering various topics on Machine Learning. * Areas of Expertise: Information Retrieval, Product Ranking, Real-time Data platforms, Computer Vision, Natural Language Understanding, Big Data Systems.
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Experience (8 roles)
Full-time · 3 yrs
Current2 roles · Sep 2022 - Present
Senior Machine Learning Engineer
Current• Applied engineer at the Recommendation and Ranking team responsible for providing Artificial Intelligence solutions (focusing on Information Retrieval and Natural Language Processing) at Yahoo!
IC3 Engineer
• Led a team of 5 engineers to architect end-to-end LLM pipelines for large-scale content enrichment. This included separate pipelines for categorization, tagging, quality check, summary generation of about 50k+ daily content, resulting in a +500k daily viewers impact and improving SEO, while drivin...
2 roles · Jan 2022 - Aug 2022
Graduate Teaching Assistant
Teaching Assistant for Data Management and Security 95568 - Review lectures for the students. - Office hours for the students. - Grading and Assignment Setting. - Student Evaluation. Skills: Databases · Relational Databases ta_95-558.png
Graduate Teaching Assistant
Teaching Assistant for Data Structures & Algorithms 95771 - Developed an autograder for the course. - Office hours for students. - Grading and Assignment Setting. - Student Evaluation. Skills: Data Structures · Algorithms DSA_Autograder.png
Senior Data Scientist
Lowe's Companies, Inc. · Full-time
• Applied research engineer at the Search Science Team responsible for providing Artificial Intelligence solutions (focussing on Information Retrieval, Natural Language Processing, Conversational systems, and Visual algorithms) to the Search Relevance, Ranking, and Core Search Machine Learning team ...
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Education (2)
Carnegie Mellon University
May 2021 - Aug 2022
MISM 12-Month Track at Heinz College, CMU • Courses: Summer 2021: -- Database Management -- Economic Analysis -- Agile Methodologies Fall 2021: -- Introduction to Machine Learning -- Search Engines -- Distributed Systems -- Statistics -- Data Focused Python Spring 2022 -- Machine Learning with Large Datasets -- Machine Learning in Production -- Big Data and Large Scale Computing -- Big Data and Data Science • Achievements: -- Finalist at Pittsburgh Innovation Case Competition, 2021 -- Finalist at Keith Block Competition, 2021 -- Graduate Teaching Assistant for Data Structure and Algorithms 95771 -- Graduate Teaching Assistant for Data Management and Security 95568 Akshay_Bahadur_degree.png Congratulatory Letter.pdf Congratulatory Letter.pdf
SIT- Symbiosis Institute of Technology
2013 - 2017
Activities and societies: • Wrote and acted in several plays produced by the Drama Society at the university. • Bachelor of Technology in Computer Science and Engineering • Courses: - Database Management - Java Programming - Object-Oriented Analysis and Design - Design and Analysis of Algorithms - Fundamentals of Data Structures - Engineering Mathematics I, II, III - Operating Systems - Computer Networks - Distributed Systems - Cloud Computing - Network Security - Advanced Databases • Final year project: Built a women safety application(NARI, Native Application for Rescue - India) with the integration of a smart band module (using raspberry pi). Degree_certificate.pdf
Skills (42)
Certifications (20)▼
Sequence Models
Coursera
Natural Language Processing in TensorFlow
Coursera
Introduction to Big Data
Coursera
Algorithmic Toolbox
Coursera
Statistical Learning
Stanford University
International Women's Health and Human Rights
Stanford University
Mathematics for Machine Learning: Linear Algebra
Coursera
Mathematics for Machine Learning: PCA
Coursera
Human Trafficking Awareness for the General Public
Stanford University
TensorFlow in Practice Specialization
Coursera
Convolutional Neural Networks in TensorFlow
Coursera
Mathematics for Machine Learning Specialization
Coursera
Mathematics for Machine Learning: Multivariate Calculus
Coursera
Introduction to TensorFlow
Coursera
Deep Learning Specialization
Coursera
Natural Language Processing with Classification and Vector Spaces
Coursera
Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications
Intel Corporation
Version Control with Git
Coursera
Sequences, Time Series and Prediction
Coursera
AI For Everyone
Coursera
Publications (1)▼
E-voting-using-Tangle (Whitepaper)
Mar 7, 2018
Languages (3)▼
Volunteer Experience (3)▼
Intel Software Innovator
Intel Corporation
Jun 2019 - May 2021 · 2 yrs
Member Data Science Comunity
CurrentCoursera
Oct 2017 - Present · 7 yrs 11 mos
Developer Expert (Machine Learning)
Jul 2019 - Sep 2022 · 3 yrs 3 mos
Honors & Awards (15)▼
Open Data Science Conference (ODSC), India
Issued by Open Data Science Conference · Sep 2018
I was invited to the Open Data Science Conference (ODSC), India in September 2018 to present my work on ‘Recognizing Human features using Deep Networks’. I was the youngest of the 65 speakers at the conference, which had 544 participants from 274 companies and 10 countries. My demonstration mainly focused on different human features could be used to develop a machine learning model to solve real-world use cases. Proposal Link : https://confengine.com/odsc-india-2018/proposal/6684/recognizing-human-features-using-deep-networks Demo : https://www.youtube.com/watch?v=KKSpX7YrY3A
Symbiosis Institute of Technology Deep Learning Workshop
Issued by Symbiosis Institute of Technology, Pune · Jan 2019
Invited to hold a workshop on Stacked Encoders/Generative Adversarial Networks on the 5th January 2019. The objective of this workshop is primarily to introduce and offer the participants an opportunity to understand the mathematical basis of deep learning techniques. Our aim is to provide extensive exposure to hands-on coding to enable the participants to use deep learning methods to find solutions to a problem in their specific areas of interest. Link : http://symbiosisdlworkshop.com/
DevFest Kolkata
Aug 2019
Link : https://www.youtube.com/watch?v=3AFAwWuICDE
Open Data Science Conference (ODSC), Boston 2019
Mar 2019
I was invited to speak at Open Data Science Conference held at Boston to present on ‘Minimizing CPU utilization for deep networks’ in which I demonstrated the use of parallel programming along with network architecture optimization for improving the performance of deep neural networks. Abstract - The advent of machine learning along with its integration with computer vision has enabled users efficiently to develop image-based solutions for innumerable use cases. It's crucial to explain the subtle nuances of the network along with the use-case we are trying to solve. With the advent of technology, the quality of the images has increased which in turn has increased the need for resources to process the images for building a model. The main question, however, is to discuss the need to develop lightweight models keeping the performance of the system intact. To connect the dots, we will talk about the development of these applications specifically aimed to provide equally accurate results without using much of the resources. This is achieved by using image processing techniques along with optimizing the network architecture. In this webinar, we will discuss the development of ML applications using computer vision techniques to minimize CPU utilization. Link : https://learnai.odsc.com/courses/deepvision-exploiting-computer-vision-techniques-to-minimize-cpu-utilization
Creative Applications of Image Recognition
Issued by Institute of Analytics (USA)™ · Jun 2018
Conducted a 2-hour workshop on “Creative Applications of Image Recognition” organized by Institute of Analytics (USA)™. I was invited by Dr. Nethra who runs the Institute of Analytics. The agenda of this workshop was to give a hands-on session on one of my previous projects - Emojinator. In the second part, we had a discussion about the technical nuances required while building a machine learning application as well as how to critically analyze a research paper. Part 1 : https://www.youtube.com/watch?v=wVx1tF3QDHU Part 2 : https://www.youtube.com/watch?v=7y9AwiFYnjQ
Improving Deep Neural Networks
Aug 2019
Invited by the Indian Institute of Science, Bangalore, and IEEE to present my findings on how to improve a machine learning model. Link : https://www.youtube.com/watch?v=QixqQgQiMRU
Spot Award Q1 2021
Mar 2021
Associated with Lowe's Companies, Inc. Rolled out a new Ranking algorithm for the users.
Minimizing resource utilization for Deep Networks
Aug 2019
Invited to present my work on training machine learning models on low resources Link : https://confengine.com/odsc-india-2019/proposal/9419/minimizing-cpu-utilization-for-deep-networks
The Most Influential Young Data Scientist of the Year 2019
Issued by The International Society of Data Scientists · Apr 2020
Received "The Most Influential Young Data Scientist of the Year 2019" by the The International Society of Data Scientists for my contributions in the field of Machine Learning. Link: https://www.isods.org/news-times/item/16-the-most-influential-young-data-scientist-of-the-year
Deepcogntion Workshop - DeepVision
Sep 2018
Invited to conduct a workshop on “Introduction to deep vision” organized by deepcongnition.ai. In this session, I used deepcognition's platform to train a model and deploy that on my local machine. Link : https://www.youtube.com/watch?v=KakD2UnEpZM
Top 10% of programmers on HackerEarth in 2017
Issued by HackerEarth · Jan 2018
Associated with SIT- Symbiosis Institute of Technology
AI club @ Symbiosis Institute of Technology
Issued by Symbiosis Institute of Technology, Pune · Nov 2018
Inaugurated the AI club at my alma mater - Symbiosis Institute of Technology. The main objective of the club is to spread awareness among the students and also to give a head start to students who want to get into artificial intelligence. Link : https://www.youtube.com/watch?v=OPie3au0kM0
Tensorflow Roadshow, Bangalore
Oct 2019
Invited by Google, Bangalore to present my work on Indian Sign Language at Tensorflow Roadshow at Bangalore along with the Tensorflow team. Link to Tweet : https://twitter.com/GoogleDevExpert/status/1180192009610354688?s=20
Solving real-world applications from Machine learning
Issued by Microsoft Advanced Analytics User group · May 2018
Conducted a workshop on “Solving real-world applications from Machine learning” organized by Microsoft Advanced Analytics User Group of Belgium (broadcasted across the globe). Mainly discusses how to start with machine learning and the best practices when it comes to tackling practical problems Link : https://www.youtube.com/watch?v=A2baXaZ8pnQ
Mentor at Google Explore ML Academy, Hyderabad
Sep 2019
Invited by Google, Hyderabad to mentor 65 students on machine learning and it's applications.
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