Abhishek Bhardwaj

AI Researcher

New York, New York, United States10 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in designing scalable machine learning pipelines.
Proven track record in mentoring data science professionals.
Experience with Generative AI and large language models.

Stackforce AI infers this person is a Data Science and Machine Learning expert in Cloud Computing and Telecommunications.

Contact

abhishek.bhardwaj@iit.edu LinkedIn

Skills

Core Skills

Machine LearningAwsData Science

Other Skills

AI AgentsAWS BedrockAWS EMRAWS GlueAWS SageMakerAgentsAlgorithmsAmazon BedrockAmazon Elastic MapReduce (EMR)Amazon Web Services (AWS)AnalyticsApache SparkArtificial Intelligence (AI)Big DataC

About

Abhishek Bhardwaj is a Sr. Data and Machine Learning Engineer at Amazon Web Services (AWS), where he has been supporting customers in various domains for over a year. He is AWS and deeplearning.ai certified, and has a master's degree in computational decision science from the Illinois Institute of Technology Chicago. He is passionate about solving problems that deliver value and impact, and designing scalable machine learning pipelines that leverage the latest technologies and frameworks. At AWS, Abhishek helps customers drive their key performance indicators using AI/ML solutions, while also mentoring data science and ML professionals. He has experience in distributed training, MLOps, applied machine learning, large language models (LLM), and natural language processing (NLP). He has also published research papers on SVM, KNN, and power consumption analysis. When he is not busy with building data pipelines, he enjoys trading stock options, hacking DIY projects, writing Hindi poetry, and listening to Bollywood songs.

Experience

10 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

3 yrs 11 mos

Current Experience

Amazon web services (aws)

Sr. AI and Machine Learning Engineer , Strategic Initiative

May 2022 – Present · 3 yrs 11 mos · New York City Metropolitan Area

Currently serving as the Generative AI Technical Lead at AWS, Abhishek leads strategic engagements with AWS’s top 20 customers to design and implement Generative AI, agentic workflows, and machine learning platforms as scale. He delivers GTM strategy as well as pathway to end-to-end solutions—from strategy and use case development to production deployment—leveraging AWS Bedrock, LangGraph, LangFuse and Model Context Protocol (MCP), Strands. [Cursor ,Cline ,Kiro]
Prior to his current work role at AWS as GenAI Lead, Abhishek supported both internal and external customers across key areas such as distributed training, MLOps, applied machine learning, and large language models (LLMs). His core responsibilities included enabling customers to achieve their KPIs through AI/ML solutions and mentoring data science and ML professionals. He worked extensively with technologies such as AWS SageMaker, Hugging Face, TensorFlow, and PyTorch.

PythonAWS SageMakerAmazon BedrockGenaiAI AgentsLarge Language Models (LLM)+9

Plume design, inc

Senior Machine Learning Engineer

Sep 2021 – Jun 2022 · 9 mos · Palo Alto, California, United States

At Plume Design Inc., Abhishek Bhardwaj was responsible for designing and implementing machine learning algorithms to support Plume customers in identifying their devices connected to network edge devices and hence improving customer network experience for millions of customers. While at Plume Design Inc., Abhishek used his skills of Computer Programming, Big Data, Machine Learning and Statistical Modeling to fulfill business request effectively.

KerasAmazon Elastic MapReduce (EMR)AWS SageMakerMachine LearningData Science

Tracfone wireless

Senior Data Scientist ( Engineering ) and Product Owner Data Lake

Mar 2019 – Sep 2021 · 2 yrs 6 mos · Miami/Fort Lauderdale Area

@Tracfone being the first data science practitioner, Abhishek was responsible for designing and implementing best practices for Machine Learning and Data Science use cases. At Tracfone, he along with a team that he mentored, built a successful Data Lake on Amazon Web Services (AWS) from traditional systems ( Oracle , Db2, File Systems). As one of the biggest consumers of this lake, he was responsible for laying out data governance and integrity policies. His major responsibilities include productionisation machine learning pipeline. During his tenure Abhishek worked on Customer Churn, Customer Segmentations, and Dealer Gaming. (Algorithms Focused: KMeans, LSTM, Multi-Perceptron NN, XGBoost)

KerasAmazon Elastic MapReduce (EMR)AWS SageMakerData ScienceMachine Learning

American express

Data Scientist Consultant (via NorthOut)

Feb 2018 – Jan 2019 · 11 mos · New York, New York

As a Data Science Consultant via NorthOut, @American Express NYC, Abhishek was working on the improving search by using cutting edge technologies {like Knowledge Graph, machine Learning sampling techniques, and query optimization} for internal customers. He along with team experimented ML approaches to recommend queries to hive users to achieve higher success probability.

KerasData Science

Iit stuart school of business

Research Assistant

Mar 2017 – Mar 2018 · 1 yr · Greater Chicago Area

Worked as Research Assistant under Professor Joel Goldhar and Mark C. Ubelhart on
DUAL CLASS SHARES AND LONG-TERM FIRM PERFORMANCE and HIGH FREQUENCY/HIGH PERFORMING FIRMS IN THE S&P 1,500.

Repusight

Data Scientist Lead | Senior DevOp | Deep Learning Engineering | Machine Learning

Jun 2016 – Nov 2016 · 5 mos · India

As a freelance worked as an initial part of ResuSight to build Hospitality management engine for hotels and restaurants across Banglore.
Data Science Stack: Data Crawling using Python (Selenium), Descriptive and Predictive Model, Machine Learning (SkLearn), Deep Learning(Keras), Natural Language Processing(NLTK).
WebApp Stack : HTML foundation ,bootstrap, flask ,django , d3 , nvd3 and Angular Js
SDLC : Agile

Innovaccer

Big Data | Data Scientist |Machine Learning Engineer

Jul 2015 – Jun 2016 · 11 mos · Noida, Uttar Pradesh, India

At InnovAccer, Abhishek designed and implemented solutions for the biggest financial institutions in the US and one of the major insurance company in India. He along with team implemented a Systematic Risk Dashboard to estimate and observe the slow down of the economy across the world. In another work stream at Innovaccer, he designed a collaborative filtering based insurance recommendation system. At later part of his role as Decision Scientist he was responsible for building spark based machine learning utilities for the health care industry. (Learned R, Spark, Scala, Data Mining
, Data Crawling, Textual Analysis +Natural Language processing_