Akshay Bahadur profile photo

Akshay Bahadur

Senior MLE @ Yahoo! | CMU '22 | x²-x+41

United States
500+ connections
Akshay Bahadur on LinkedIn

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.

Experience (8 roles)

Full-time · 3 yrs

2 roles · Sep 2022 - Present

Senior Machine Learning Engineer

Current
May 2025 - Present · 4 mos·San Jose, California, United States

• 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

Sep 2022 - May 2025 · 2 yrs 9 mos·San Jose, California, United States

• 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...

Part-time · 8 mos

2 roles · Jan 2022 - Aug 2022

Graduate Teaching Assistant

Jun 2022 - Aug 2022 · 3 mos·Pittsburgh, Pennsylvania, United States

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

Jan 2022 - May 2022 · 5 mos·Pittsburgh, Pennsylvania, United States

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

Lowe's Companies, Inc. · Full-time

Senior Data Scientist

Lowe's Companies, Inc. · Full-time

Aug 2020 - May 2021 · 10 mos·Bengaluru, Karnataka, India

• 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

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

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)

Distributed SystemsRelational DatabasesData StructuresMachine LearningRecommender SystemsSearch Engine RankingJenkinsPandas (Software)KerasMicrosoft OfficeDatabasesDeep LearningXGBoostJavaScriptjQueryHTML5CSS3JavaMicrosoft ExcelJavaData ScienceSearchTensorFlowAlgorithmsResearchComputer VisionMySQLFlowVirtual NetworkElasticsearchPostmanJenkinsKafkaPandasTensorFlowCloudNode.jsApache SparkJavaCloudPythonYouTube
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)
Hindi(Full professional proficiency)Sign Languages(Elementary proficiency)English(Full professional proficiency)
Volunteer Experience (3)

Intel Software Innovator

Intel Corporation

Jun 2019 - May 2021 · 2 yrs

Member Data Science Comunity

Current

Coursera

Oct 2017 - Present · 7 yrs 11 mos

Developer Expert (Machine Learning)

Google

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.

Frequently Asked Questions

What is Akshay Bahadur's current role?
Akshay Bahadur is currently working as Senior Machine Learning Engineer at Full-time · 3 yrs.
Where did Akshay Bahadur study?
Akshay Bahadur studied Master of Information Systems Management, Artificial Intelligence at Carnegie Mellon University. They have 2 education entries on their profile.
What skills does Akshay Bahadur have?
Akshay Bahadur's top skills include Distributed Systems, Relational Databases, Data Structures, Machine Learning, Recommender Systems. They have 42 skills listed on their profile.
Where is Akshay Bahadur based?
Akshay Bahadur is based in United States.

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