Aalisha Dalal
ML SWE at Google at Google
SWE at Google | Ex-MLE at Adobe | Graduate Researcher at UCLA
I am currently working as a SWE ML Engineer at Google in the App Store - Content Abusive Detection team. Prior to this, I was working as a Machine Learning Engineer in the Search & Sensei team at Adobe where I am working on enhancing the search and recommendation in the creative cloud products through AI solutions.

I am greatly interested in solving problems in deep learning and computer vision that can have a positive social impact. I am a former graduate from UCLA with a Master's in Computer Science focused on machine learning. I worked as a part of the UCLA Vision Lab and Computational Machine Learning Lab as a graduate researcher where I enjoyed solving problems in video instance segmentation and developing robust computer vision systems.

 In the past, I have experience working in multi-national companies as well as AI-based startups that have enabled me in applying software development and machine learning skills in various domains. 

Specialties: Machine Learning, Deep Learning, Computer Vision, Software Development

Email: aalishadalal@cs.ucla.edu
Misspellings: Alisha Dalal
Google
https://www.linkedin.com/company/google
► Work on adding monitoring infrastructure solutions for the ML modelling pipelines - Content Abusive detection models.
Mountain View, California, United States
https://media-exp1.licdn.com/dms/image/C4D0BAQHiNSL4Or29cg/company-logo_100_100/0/1519856215226?e=1655942400&v=beta&t=I3wjgj0XaOvOEEijwV-l2GdsHMNBE4TuNLd2LaE2S2Y
ML SWE at Google
Adobe
https://www.linkedin.com/company/adobe
► Work on developing AI-powered solutions for their creative cloud products within the Adobe Search & sensei team. 

► Lead the Machine Learning Reading Group where we organize discussions to share the cutting-edge research work that can be applied to the industry.
San Francisco Bay Area
https://media-exp1.licdn.com/dms/image/C560BAQFrtK-ioO1rsQ/company-logo_100_100/0/1590681827578?e=1655942400&v=beta&t=bDBzF8M6QPCQORKM6aPK9nb8hQccGvi5xTSPkipn8GU
Search and Machine Learning Engineer
UCLA Henry Samueli School of Engineering and Applied Science
https://www.linkedin.com/company/uclaengineering
► Extending the state-of-the-art attacks for classification models to find adversarial examples for object detection models under the guidance of Prof. Hsieh
Greater Los Angeles Area
https://media-exp1.licdn.com/dms/image/C510BAQEfz-C45goo7Q/company-logo_100_100/0/1519862694523?e=1655942400&v=beta&t=WjDnlPYL8NR_YrhMwNIl36rc-vpUKBJhpbSkfHK0Ugs
Graduate Researcher, Machine Learning
UCLA Henry Samueli School of Engineering and Applied Science
https://www.linkedin.com/company/uclaengineering
► Working on generating improved models for video instance segmentation with PhD student Xinzhu Bei under the guidance of Prof. Stefano Soatto.
Greater Los Angeles Area
https://media-exp1.licdn.com/dms/image/C510BAQEfz-C45goo7Q/company-logo_100_100/0/1519862694523?e=1655942400&v=beta&t=WjDnlPYL8NR_YrhMwNIl36rc-vpUKBJhpbSkfHK0Ugs
Graduate Researcher in Deep Learning, UCLA Vision Lab
University of California, Los Angeles
https://www.linkedin.com/company/ucla
Graduate Teaching Assistant for the course LS30A: Mathematics for Life Scientists under Prof. Jukka Keranen ( Fall Quarter ) and Prof. Artur Jaroszewicz ( Winter Quarter )
Greater Los Angeles Area
https://media-exp1.licdn.com/dms/image/C4D0BAQE9Njw4w5UjtQ/company-logo_100_100/0/1625622502302?e=1655942400&v=beta&t=xtyPBZ2XK-Er9XfcJ3mTs-5BkaDEjTrgBiXHJBYi9Pw
Graduate Teaching Assistant
Adobe
https://www.linkedin.com/company/adobe
► Generated personalised search keyword recommendations for user photos in the Adobe Search & Sensei Lightroom Team.
► Created a prototype for automatic photo album creation by applying NLP-based embedded topic modelling approach on the image metadata.
San Francisco Bay Area
https://media-exp1.licdn.com/dms/image/C560BAQFrtK-ioO1rsQ/company-logo_100_100/0/1590681827578?e=1655942400&v=beta&t=bDBzF8M6QPCQORKM6aPK9nb8hQccGvi5xTSPkipn8GU
Machine Learning Applied Researcher
UCLA Henry Samueli School of Engineering and Applied Science
https://www.linkedin.com/company/uclaengineering
Graduate Teaching Assistant for the course Computer Organization CS 33 taught by Prof. Glenn Reinman (Spring Quarter) and Introduction to Computer Science CS 32 under Prof. David Smallberg(Winter Quarter).
Greater Los Angeles Area
https://media-exp1.licdn.com/dms/image/C510BAQEfz-C45goo7Q/company-logo_100_100/0/1519862694523?e=1655942400&v=beta&t=WjDnlPYL8NR_YrhMwNIl36rc-vpUKBJhpbSkfHK0Ugs
Graduate Teaching Assistant
InFoCusp
https://www.linkedin.com/company/infocusp
► Worked on the entire data analysis cycle from pre-processing to modelling financial data stream of minute-wise the stock market feed.
► Carried out wiki-statistics analysis based on wiki edit-history and wiki-pageview data of listed companies and validated if they have event indicators which reflect change in stock prices.
Ahmedabad Area, India
https://media-exp1.licdn.com/dms/image/C4E0BAQEru9ab2wWesw/company-logo_100_100/0/1623733888232?e=1655942400&v=beta&t=Wo1tetoeIhUtSzYQhvy3NNIoWVRJvO3AWwKPcZU4mc4
Machine Learning Engineer
Morgan Stanley
https://www.linkedin.com/company/morgan-stanley
► Worked as a part of Institutional Securities Team at Morgan Stanley Advantage Services Pvt. Ltd. Developed a full-stack, health-check application (similar to the GSuite Dashboard), to monitor failure events of various functionalities for their different trading applications.
Mumbai Area, India
https://media-exp1.licdn.com/dms/image/C4D0BAQGHNBdrVsvq_w/company-logo_100_100/0/1597078080178?e=1655942400&v=beta&t=Wo8ekaaaQ7ZfSOqfXIG-jhe9J27SxiGNSwDGW5VBPlg
Technology Analyst
IQR Consulting Inc.
https://www.linkedin.com/company/iqr-consulting-inc-
► Developed a deep-learning based risk model in Python for predicting credit union customers likely to go delinquent in the current cycle based on their historical track records from a database of more than 0.3 million customers.
Ahmedabad Area, India
https://media-exp1.licdn.com/dms/image/C4D0BAQE44Wix8DyR_g/company-logo_100_100/0/1519922023399?e=1655942400&v=beta&t=OKN218kYlyJYwi3_Kjc0rhwI_rikxh3jTe7Xj6L7wz4
Data Analyst
Blueinfy
https://www.linkedin.com/company/blueinfy
► Designed a secure authentication and authorization routine for the web application to keep it secure from SQL injection attacks, authorization bypass, etc.  This was done by using parameterized queries, password hashing and enabling two-factor authentication for login functionality.
Ahmedabad Area, India
https://media-exp1.licdn.com/dms/image/C4D0BAQHr5N2R00MtIA/company-logo_100_100/0/1519911605952?e=1655942400&v=beta&t=cF2b3DfTNZqLieXeyfV8s1y7aB2gc0kEUx2T4Fk6h8o
Summer Intern
Master of Science - MS
Interests - Deep Leaning, Computer Vision

Selected Coursework:
Pattern Recognition and Machine Learning, Computer Vision, Machine Learning Algorithms, Neural Networks & Deep Learning, Convex Optimization, Learning Data from text (equivalent to NLP) and Web Information System
Computer Science
https://media-exp1.licdn.com/dms/image/C4D0BAQE9Njw4w5UjtQ/company-logo_100_100/0/1625622502302?e=1655942400&v=beta&t=xtyPBZ2XK-Er9XfcJ3mTs-5BkaDEjTrgBiXHJBYi9Pw
University of California, Los Angeles
https://www.linkedin.com/school/ucla/
Bachelor of Technology (BTech)
• Awarded Merit Scholarship for all semesters from DA-IICT

Selected Coursework: 
Discrete Mathematics, Data Structure and Algorithms, Selected Topics in Neural Networks, Data Analysis and Visualization,  Computational Optimization,  Complex Networks, Operating Systems, High Performance Computing
Information and Communication Technology(Hons. in Computational Science)
https://media-exp1.licdn.com/dms/image/C560BAQHNo7sMMtQlLA/company-logo_100_100/0/1519904005750?e=1655942400&v=beta&t=b9xSHh5PCZkEZRRUViPYKB26HGQsttZ57fxv9Pc3uQM
Dhirubhai Ambani Institute of Information and Communication Technology
https://www.linkedin.com/school/dhirubhai-ambani-institute-of-information-and-communication-technology/
94.4%(99.97 Percentile) in 12th Grade State Exam
St. Xaviers High School, Ahmedabad
96.8% ( 99.99 Percentile ) in 10th Grade State Board Exam
Mount Carmel High School, Ahmedabad
I was actively involved in partnerships and marketing.  Through TEDxDAIICT 2017, we brought on board ideas ranging from food-pairing patterns, elusive dark matter, the emergence of Indian roadside shrines to theatrical arts.

TEDxDAIICT 2017
https://www.ted.com/tedx/events/22805
TEDx
Organizing Team Member of TEDxDAIICT
TED Certificate
https://goo.gl/1Vi1h5
TED
Organizing Team Member of TEDxDAIICT
DA-IICT
Awarded Merit Scholarship for all Semesters from DA-IICT
BTech Mini Project
-
Computer Vision
CS 188
Convex Optimization
EC 236B
Machine Learning Algorithms
CS 260
Neural Networks & Deep Learning
ECE 239 AS
Pattern Recognition and Machine Learning
M-276
Web Information Systems
CS 246
Computational Optimization
CS 307
Computational and Numerical Methods
SC 374
Computer Networks
IT 304
Computer Organization
IT 209
Data Analysis and Visualization
CS 306
Data Structures
IT 205
Database Management System
IT 214
High Performance Computing
CS 301
Introduction to Algorithms
IT 301
Introduction to Complex Networks
IT 454
Introduction to Non Linear Science
CS 304
Logic for Computer Science
IT 424
Modeling and Simulation
CS 302
Operating System
IT 308
Probability and Statistics
SC 215
Software Engineering
IT 314
Stochastic Simulation
IT 461
System Software
IT 215
System and Network Security
IT 453
Worked on a Bidirectional Attention flow model using word embeddings - GloVe, Fasttext and BERT for predicting answers to questions from paragraphs.
Neural-based System for Question-Answering on SQUAD 2.0
Implemented a CNN encoder-decoder architecture and GAN model having U-Net as the generator and CNN as the discriminator for colourisation of grayscale images.
Automated Colorisation of Grayscale Images
Used the MovieLens Dataset for evaluating the fairness of the existing collaborative filtering-recommendation systems using various fairness metrics.
Fairness in Recommendation Systems
Developed a model for recommending hashtags for user tweets.  The model is trained on real-time Twitter feed and is built using word2vec embeddings and clustering approaches.
Hashtag Recommendation for Twitter tweets
Implemented Viola Jones’Adaboost and real boost method for face detection.  Used non-maximum suppression and hard negative mining to reduce false positive detections.
Human Face detection using Boosting
Implemented dimensionality reduction techniques:  PCA and auto-encoder CNN model on human faces and used them to reconstruct human faces with appearance and geometry variations.  Carried out gender-based classification with Fisher faces using the FLD technique.
Image Analysis of Human Faces and Gender-based Classification:
-Developing a machine-learning tool for classification of benign and malware programs.
-Graph-theoretic features extracted from API call graphs of these programs are used in training the MLP neural network model for classification.
Machine-learning based Malware Detection Tool
https://github.com/Aalisha/Malware_Detection_API_Graphs
Implemented MLP neural model with evolutionary-based harmony search algorithm.
Training Neural Networks model using Harmony Search Algorithm
Developed a user-level virtual memory management system which uses LRU algorithm for handling demand paging.
Virtual Memory Management System
- Optimized Google's PageRank algorithm for ranking millions of web-pages using Markov Chains.
-Used compressed storage for storing transition matrix and Prefix Sum (Scan) algorithm for efficient computation and effective parallelization of the PageRank algorithm.
Optimized PageRank Algorithm
Used evolving neural networks model for predicting Parkinson's disease among patients based on their vocal and gait features.
Deep learning based Prediction of Parkinson's Disease
Arts and Culture
TEDx DAIICT
• Organizing team member of TEDxDAIICT 2017 and was actively involved in sponsorship, marketing and designing.
Coordinator
Education
Centre for Environment Education
https://www.linkedin.com/company/centre-for-environment-education
• Worked as a part of the umbrella project 'Mari Shaala'. I helped in creating a real-time application that would help them track students who remain absent in rural schools.
https://media-exp1.licdn.com/dms/image/C4E0BAQGD6nHJUb8D3w/company-logo_100_100/0/1597144004274?e=1655942400&v=beta&t=eyS1hcYrdbzIlVM-TB0SpxMAYLHjMYxxTjkk2HeyVBY
Student Volunteer
https://www.linkedin.com/in/avijit2verma
San Francisco Bay Area
Avijit Verma
Software Engineer at Google
https://www.linkedin.com/in/soumita0210
Seattle, WA
Soumita Das
Software Engineer at Google
https://in.linkedin.com/in/anamika-modi-inky777
Bengaluru
Anamika Modi
Software Engineer at Google
https://www.linkedin.com/in/shaleen-gupta
Mountain View, CA
Shaleen Kumar Gupta
Google | CMU LTI | Ex-Directi, Morgan Stanley
https://www.linkedin.com/in/karan-sanwal-50a218136
Mountain View, CA
Karan Sanwal
Software Engineer at Google
https://in.linkedin.com/in/vaibhavk1o1
Delhi, India
Vaibhav Kumar
Teaching Assistant at University of California, Los Angeles
https://www.linkedin.com/in/misraaa
San Francisco Bay Area
Aashish Misraa
ML Research @ Adobe
https://www.linkedin.com/in/aakash-srinivasan-141924193
Los Angeles Metropolitan Area
Aakash Srinivasan
UCLA CS | SWE-ML Intern @ Google | CS @ IIT Madras | Ex-Adobe Research | Machine Learning
https://www.linkedin.com/in/mukundmundhra
Los Angeles, CA
Mukund Mundhra
Masters in Computer Science at UCLA | IIT Delhi CS Graduate
https://www.linkedin.com/in/nidhivyas
Cupertino, CA
Nidhi Vyas
Founding Team Member @ Galileo | ex-Apple | ex-CMU SCS | ML Research (We are hiring!)
https://www.linkedin.com/in/madhavsankar
Los Angeles, CA
Madhav Sankar Krishnakumar
MS in CS Student at UCLA | Software Engineer | Ex-Microsoft
https://www.linkedin.com/in/shweta-garg-a8a423118
Champaign, IL
Shweta Garg
MS CS Student at UIUC (University of Illinois at Urbana - Champaign) | Ex Researcher at IBM Research Lab India | DTU
https://www.linkedin.com/in/shikharmalhotra
San Francisco Bay Area
Shikhar Malhotra
SDE 2 at Amazon | UCLA MS CS Graduate
https://www.linkedin.com/in/lalitbhagat7
Los Angeles, CA
Lalit Bhagat
Computer Science Graduate Student at UCLA | Engineer | Researcher | Machine Learning
https://www.linkedin.com/in/sunchu-rohit
Los Angeles, CA
Rohit Sunchu
MS CS @ UCLA | Ex-Goldman Sachs | IIT Bombay CSE
https://www.linkedin.com/in/shruti-sharan-826194aa
Seattle, WA
Shruti Sharan
Software Engineer, Machine Learning at AmazonGO
https://www.linkedin.com/in/ishitaverma17
San Francisco Bay Area
Ishita Verma
Software Engineer at Adobe
https://www.linkedin.com/in/parth-patwa
Los Angeles, CA
Parth Patwa
UCLA MS ECE | Graduate Student Researcher | Researcher at (MIT) PathCheck | NLP | ML | CV | Looking for Internships Summer 22
https://in.linkedin.com/in/anirudh-mittal-b9243a167
Mumbai
Anirudh Mittal
NLP @ UCLA, IIT Bombay | Ex CRED, Honeywell
Liked by Aalisha Dalal
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Moved to the country's Silicon Valley - Bangalore ✨The vibe has been amazing so far.Looking for suggestions on offline tech/infosec…
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Thank you so much Morgan Stanley for such a thoughtful gift on Women’s Day !! ❤️❤️ #opstechWellbeingCommittee #thankyou #womensday2022
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I’m very excited to share that I have joined Google as a Software Engineer.I'd like to thank my family and friends for their continued support and…
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Vaughan, ON
Aalisha Dalal
Student At Humber College
https://in.linkedin.com/in/aalisha-dalal-shah-6b890314
India
Aalisha Dalal Shah
Certified Financial Planner Professional
IBM Big Data and Analytics
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https://www.linkedin.com/groups/4014567
Microsoft University Recruiting Team
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https://www.linkedin.com/groups/12125564
UCLA Alumni
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https://www.linkedin.com/groups/31