aaditya shukla
Senior Machine Learning Engineer at Meta
ml @ meta
Meta
https://www.linkedin.com/company/meta
Menlo Park, California, United States
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Senior Machine Learning Engineer
IBM
https://www.linkedin.com/company/ibm
• Architect and design end-to-end machine Learning/deep learning solutions for AIOps such as Anomaly Detection and Change Risk in IT Service Management.
• Research, prototype, evaluate and productize machine learning algorithms for Structured and Unstructured Data, Natural Language Processing, and Time Series Analysis.
• Lead machine learning-based research with cross-functional teams and collaborate with product management and other stakeholders to deliver the products.
• Develop the data preprocessing, training, and inference pipelines in Python.
• Deploy the micro-services based machine learning solutions in a distributed environment using Docker and Kubernetes.
San Francisco Bay Area
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Lead Data Scientist
IBM
https://www.linkedin.com/company/ibm
* Design and implement a micro-service based machine learning solution that involves deep learning and natural language processing to generate business glossary from unstructured data.
* Utilize OCR to convert unstructured text data into the structured format as part of the data preprocessing stage.
* Researched and developed algorithms to extract descriptions for the key concepts.
* Researched and developed an algorithm for topic label generations.
* Trained models for text classification tasks and utilized active learning
approach.
San Francisco Bay Area
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Data Scientist
IBM
https://www.linkedin.com/company/ibm
* Develop Watson health cognitive framework for image analytics to support various advisors such as breast advisor, heart advisor.
* Analyze the algorithms for detection of cancer which uses deep learning algorithms in computer vision.
* Train the machine learning classifier models to detect medical imaging modalities.
* Automate the end-to-end flow of data from Hospital servers to drive the Machine learning models and persist the results in the database.
* Code the custom processors in NiFi to achieve user-defined data transformation logic.
* Design data models for different advisors.
* Design the retraining machine learning algorithms to improve the accuracy of trained models.
San Francisco Bay Area
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Data Scientist
Sparkway
https://www.linkedin.com/company/sparkway
* Translated business problems in the digital media domain into Machine learning use cases and trained models for targeted marketing to drive customer acquisition costs lower.
* Utilized PCA to reduce the dimension and evaluated classifier using traditional algorithms such as Logistic Regression, Random Forest, Gradient Boosting Trees, and Neural networks.
stochastic neighbor embedding algorithm for dimensionality reduction of the higher dimensional dataset.
* Employed statistical methods for determining the optimal number of clusters.
* Employed various statistical methods in the selection of features from the training dataset.
* Programmed in R to build regression and classification model, Designed stored procedure using  IBM dash DB.
* Built Shiny web application in R to demonstrate the performance of ML models.
Princeton, New Jersey
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Software Engineer Intern (Machine Learning)
Accenture
https://www.linkedin.com/company/accenture
* Recommended various process to be automated which required user effort and then developed the script in AVS/JVS.
* Programmed/Developed the solution for production related issues, knowing the system architecture.
* Developed SQL queries.
* Performed functional testing on Endur Gas and Power application such as Disaster recovery and Health checks.
* Experienced in setting up the Endur Environment for Development, Acceptance and System Integration testing.
* Responded to client’s queries and coordinated with the different teams in case of major production related issues.
Bengaluru Area, India
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Software Engineer
Master’s Degree (Thesis)
Computer Engineering
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Rutgers University-New Brunswick
https://www.linkedin.com/school/rutgersu/
Bachelor’s Degree
Electrical and Electronics Engineering
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Visvesvaraya Technological University
https://www.linkedin.com/school/visvesvaraya-technological-university/
Method and System to Generate Business Glossary from Enterprise PDF Documents
IP.com
https://priorart.ip.com/IPCOM/00265281D
Soft errors are increasing in modern computer systems. These faults can corrupt the results of scientific simulations. Our work first studies error propagation by a bit flip in conjugate gradient method. The result of this study is used to introduce adaptive method in selective reliable fault tolerant (SRFT) solvers. Adaptive method reduces the compute intensive reliability steps in SRFT solvers.
Fault-tolerant Iterative Solvers with Adaptive Reliability
IEEE 17th Biennial Conference on Electromagnetic Field Computation (CEFC2016), Miami, FL, 2016.
IBM
Eminence and Excellence Award
IBM
Outstanding Technical Achievement Award
IBM
Eminence and Excellence Award
IBM
Eminence and Excellence Award
Received best poster presentation award on ECE research day at Rutgers University
ECE Department at Rutgers University
Best Poster Presentation
Users Physical Activity Recognition Using Autoencoders and Deep Learning on Spark
Designed and implemented a system which manages a Stock Portfolio Account and a Bank Account.

Stock Portfolio module supports buy and sell stocks, view a graph for portfolio, view transaction history,etc.
Bank Account Portfolio module supports withdrawal, deposit and transaction history. 

Self implemented data structure was used to store Portfolio Stock information.
Account management system
https://www.dropbox.com/sh/0lwig81l60uycn8/AAA3p8vwpOTlnSPiw0UQIXdEa?dl=0
Used Neural Network classifier in android app to detect malware based on the .apk access permissions.
Detection of malware in android phone using Neural Network
Fault Tolerance in High-Performance Computing:
Working towards developing resilient Linear Iterative Solvers which works under bit flips (Fault condition) using the Algorithm-Based Fault Tolerance (ABFT) methodology which  detects faults in simulation of sparse linear system, including error detection, location and recovery in linear algebra operation
MS thesis
Implemented and analyzed the behavior of K-Means clustering algorithm and alternatives to it. The dataset which was used to test these algorithm was six thousand distinct movies and more than one million user ratings
Movie recommendation system using K-means
My final year project titled “PHS AND GSM BASED Bidirectional speed control of dc motor” is based on the principle that Speed control of dc motor is obtained by varying the applied voltage. We tried to achieve the speed control by varying its flux by changing the field current of the motor with the help of varying resistance digitally. There are various methods to control the speed of dc motor but they are not automated. This discrepancy motivated me, along with three peers of mine, to develop a more accurate digital system. Our device is highly efficient and it is packed with interactive and user friendly components.
PHS and GSM based Bidirectional speed control of dc motor
Implemented Sensitive API monitoring system which monitors system level calls for SMS API. It generates a report which can be used by a Malware analyst for dynamic analysis of an executable.
Real time monitoring of SMS in android phones to detect Malicious Activities
Designed a website which has various graphical representation of stock patterns and also forecasting method which is based on Logistic regression. This system was tested on thousands of live traded stocks; the data was collected from Yahoo Finance API. REST API  was built using EXPRESS.JS
Stock forecasting using Logistic Regression.
Designed a website which displays the predicted traffic based on the historical values using Xgboost. Users are allowed to plot special events, construction sites and incidents on the map by providing zip code of their location. Also users can view special events, construction sites and incidents.
Xgboost model for Traffic Monitoring System: Android Application and Website
https://www.linkedin.com/in/dan-finer-1857253a
San Francisco, CA
Dan Finer
Global Operations Process Manager, Google Play
https://www.linkedin.com/in/padmashree-joshi-936a12160
Austin, Texas Metropolitan Area
Padmashree J.
Contingent Worker @ Facebook (PDS)
https://www.linkedin.com/in/gainesk
Nashville Metropolitan Area
✰ Gaines Kergosien
Vice President | Director | Software Engineering | Community Leader | International Speaker
https://www.linkedin.com/in/yashwanth-konduri-226b65bb
Milpitas, CA
Yashwanth Konduri
Senior Data Scientist at Zoox
https://www.linkedin.com/in/sushanths
Sunnyvale, CA
Sushanth Suresh
Software Development Engineer at Zillow
https://br.linkedin.com/in/marcovincit
São Paulo, SP
Marco Vincit
Design & Development
https://www.linkedin.com/in/vishnupuchalapalli
New York City Metropolitan Area
Vishnu Puchalapalli
Senior Engineering Manager / Vice President
https://ca.linkedin.com/in/vidyaviswakumar
Brampton, ON
Vidya Viswakumar
Software Engineer at Connected
https://www.linkedin.com/in/sam-maher
San Rafael, CA
Sam Maher
Sales & GTM at Statsig - HIRING
https://in.linkedin.com/in/agkrishnendu
Bengaluru
Krishnendu A G
Vice President at Goldman Sachs
https://in.linkedin.com/in/ani-chatterjee-6b281278
Kolkata
Ani Chatterjee
Manager | Technology and Digital Transformation| PwC India
https://www.linkedin.com/in/vinay-gawande-b0379943
Greer, SC
Vinay Gawande
Manufacturing Quality Engineer at Apple
https://www.linkedin.com/in/rickjones0
San Francisco, CA
Rick Jones
Eng Recruiting Manager at Stripe
https://in.linkedin.com/in/careerdevelopmentcentreigitsarang
Odapada
Career Development Centre, IGIT SARANG
Prof. (Dr.) B B Choudhury [ Professor & Head at Career Development Centre(CDC) , IGIT, Sarang ]
https://in.linkedin.com/in/rajat-surana-121001119
Raipur
Rajat surana
Application Engineer @Google | NIT Raipur
https://in.linkedin.com/in/mukhtarbaig2509
Hosur
Mukhtar Baig
Engineering Manager @Terex India
https://www.linkedin.com/in/yimu-xiao-39a34211b
Menlo Park, CA
Yimu Xiao
Research Data Scientist at Meta
https://www.linkedin.com/in/zewei-liu-117b98b5
Sunnyvale, CA
Zewei Liu
Applied Scientist/Machine Learning Engineer at Uber
https://www.linkedin.com/in/bill-dusch
Raleigh-Durham-Chapel Hill Area
Bill Dusch, PhD
Certified Advisory Data Scientist | Neurodiversity@IBM Global BRG Co-Chair | User Research, CIO, IBM
https://in.linkedin.com/in/aaditya-shukla-09801b169
Raipur
Aaditya Shukla
Undergraduate Persuing B. A. L. L. B
https://in.linkedin.com/in/aaditya-shukla-2567931b1
Lucknow
Aaditya Shukla
Area Business Manager at AstraZeneca
https://in.linkedin.com/in/aaditya-shukla-466236123
Uttar Pradesh, India
Aaditya shukla
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https://in.linkedin.com/in/aaditya-shukla-877366b2
Ghaziabad
Aaditya Shukla
Senior Software Engineer at TO THE NEW