Harshvardhan Solanki

AI Researcher

Seattle, Washington, United States7 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in deploying AI solutions at scale.
Strong foundation in Mathematics and Data Science.
Proven track record in NLP and Machine Learning projects.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning for Fintech and Telecom sectors.

Contact

harsh.vardhan0744@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData ScienceNatural Language ProcessingBusiness AnalysisArtificial Intelligence

Other Skills

Deep LearningProgrammingPythonAIData AnalysisBusiness IntelligenceArtificial Intelligence (AI)Data MiningBig DataAlgorithmsAnalyticsObject-Oriented Programming (OOP)Cloud ComputingSASMicrosoft Excel

About

I like to solve real world problems using Mathematics and programming. I am highly passionate for the data-driven industry and love applying Machine Learning, Statistics, Natural Language Processing (NLP) and Computer Vision to build scalable and fault-tolerant AI embedded products. I graduated from BS-MS dual degree program “Mathematics and Scientific Computing” at IIT Kanpur pursuing coursework heavy in Statistics and Machine Learning. Currently, I am pursuing another Masters in Data Science (with specialization in NLP) from the prestigious Johns Hopkins University. Apart from the high theoretical knowledge, I do own a high practical exposure in the field evident from the diverse work experience of applying Data Science in the domain of Fintech (@ American Express), HR Tech (@Accenture Digital Analytics) and Telecom (@Flytxt) Skillset: Scheduling Frameworks : Airflow Deployment : Docker, Kubernetes, CI/CD,Web-service Cloud: Azure, AWS (EC2, Sagemaker, S3,Lambda,Redis) Streaming frameworks: Kafka Databases : MongoDb,SQL Languages: Python,R,C++,Java,Scala ML lib : Sklearn,Pandas,Numpy,Pytorch,Tensorflow,Pyspark,Dask,Ray Data-visualization: Tableau My experience of bringing AI to scale has taught me prominent skills of deploying AI into production. Always open to guide start-ups and professionals who want to leverage Data Science for their growth. Please book for consultation on : https://topmate.io/harshvardhan_solanki/ Contact info : harsh.vardhan0744@gmail.com/+1(443-642-8718)

Experience

Amazon

Applied Scientist-2

Jun 2022 – Present · 3 yrs 9 mos · Seattle, Washington, United States

Machine LearningData Science

Ieee

NLP Researcher

May 2021 – Aug 2021 · 3 mos · Baltimore, Maryland, United States

Built a new transformer based language model "IEEE-BERT" from scratch using IEEE scientific corpus. (3.5 million articles)
Pre-training was done on a distributed fashion (involved 8 GPUs) and consumed 21 days
It gave a jump of 11 percent over the previous baseline in the task Named Entity Recognition.
Got excellent recommendation from the Director of Data Science @ IEEE on my Linkedin profile. Project done as a joint collaboration between Johns Hopkins University (JHU) and IEEE.

Natural Language ProcessingMachine LearningDeep LearningProgramming

Flytxt

Deputy Manager - R&D Data Science

Jul 2018 – Dec 2020 · 2 yrs 5 mos · Thiruvananthapuram Area, India

Researching and developing scalable AI based Marketing automation for Telecom Sector.
Took initiatives on features such as AutoML, AI enabled customer journeys, Explanations for AI models.
Involved in diverse roles from taking interviews, writing tech and business blogs, pitching to stakeholders, creating prototypes to fully-fledged AI libraries.
Awarded innovator for the quarter and nominated for innovator of the year for the work on
Explanable AI

AIMachine LearningData ScienceProgramming

Accenture digital

Analytics Analyst

Jul 2017 – Jul 2018 · 1 yr · Gurugram

Worked on projects in Enterprise Analytics/Human Resources Analytics/Human Capital Analytics team under Applied Intelligence, Digital consulting Division of Accenture:
Projects consisted of building Automated data-driven solutions for employee lifecycle management spanning from recruitment to workforce-management to ultimately predicting and controlling attrition.

Data AnalysisBusiness IntelligenceData ScienceBusiness Analysis

American express

Internship

May 2016 – Aug 2016 · 3 mos · Gurgaon

Created a new model for credit risk prediction for Small Business Charge card holders.

Data AnalysisMachine LearningData Science

Institute for development and research in banking technology

Project Trainee

May 2015 – Aug 2015 · 3 mos

1. Created a scalable implementation (exploiting MapReduce framework) for a predictive algorithm involving non-linear principal components.
2. Work got published at ICDIM (International Conference on Digital Information Management) 2015, South Korea

Machine LearningData AnalysisData Science