Jash Shah Email & Phone Number
@quantiphi.com
LinkedIn matched
Who is Jash Shah? Overview
A concise factual answer block for searchers comparing this professional profile.
Jash Shah is listed as Senior Data Scientist at Adform, a with 770 employees, based in Mumbai, Maharashtra, India. AeroLeads shows a work email signal at quantiphi.com and a matched LinkedIn profile for Jash Shah.
Jash Shah previously worked as Architect - Machine Learning at Quantiphi and Associate Technical Architect - Machine Learning at Quantiphi. Jash Shah holds Master Of Computer And Information Technology, Computer Science, 4.0/4.0 from University Of Pennsylvania.
Email format at Adform
This section adds company-level context without repeating Jash Shah's masked contact details.
AeroLeads found 1 current-domain work email signal for Jash Shah. Compare company email patterns before reaching out.
About Jash Shah
Experienced Team Lead with a deep understanding of Large Language Models (LLM), Generative AI, Deep Learning, Google Cloud Platform (GCP), Python, and Machine Learning. Proven ability to enhance team performance and project outcomes with my technical acumen and leadership qualities. I have a record of creating and optimizing machine learning models to accomplish strategic business goals, driving significant improvements in efficiency and accuracy.
Listed skills include Microsoft Excel, R, Microsoft Office, Powerpoint, and 20 others.
Jash Shah's current company
Company context helps verify the profile and gives searchers a useful next step.
Jash Shah work experience
A career timeline built from the work history available for this profile.
Architect - Machine Learning
Associate Technical Architect - Machine Learning
Led a team to create a Retrieval-Augmented Generation based question-answering web application that references 3 million research papers using LangChain, Cloud Run, FastAPI, and PaLM 2. Also created a scalable pipeline to ingest documents and create embeddings using Dataflow, Vertex Vector Search, and BigQuery.For an online marketplace for buying and selling cars in the UK, led a team to create ML models to predict the maximum auction price for used cars using Vertex AI, Python and SQL. Improved over existing metrics by over 70%.For a globally recognized engine manufacturing company, spearheaded a project team employing object detection models like RetinaNet and YOLO to identify and predict defects in engine components using Vertex AI, Python and Sci-kit Learn. Enhanced the speed of defect detection by 2x.For one of the world’s leading dating apps, led a team to create ML models to predict the intrigue (or interest) two users have for each other using Tensorflow, SQL and Sci-kit Learn. Improved over existing methods by 30%.For a geospatial imagery company, led a three-person team to rewrite the training and inference pipelines for a computer vision model (originally written in Pytorch) to Tensorflow to reduce the training and inference time by 5x using Tensor Processing Units (TPUs)
Senior Machine Learning Engineer
Functioned as a consultant to a client that offers webcasting products to thousands of users. Aided the client in diagnosing errors and improving the running of their pipeline using best practices to generate live transcriptions using the Speech to Text API. Reduced by word error rate by 10%.Was a part of a team that created a scalable MLOps pipeline for preprocessing and transforming data; training, evaluating, and deploying computer vision models for a manufacturer of computer memory and data storage using Dataflow, Tensorflow Extended (TFX), AutoML, Cloud Composer, Kubeflow and Vertex AI.Was a part of a team that reduced the inference time by 10x of a high throughput DNA sequencing model for a California based company that uses novel electronic chips. This reduction was achieved by utilizing concepts such as Fire Modules and Depthwise Separable Convolutions that reduce the number of parameters of CNNs along with Nvidia TensorRT.
Machine Learning Engineer
Led a team of engineers to build and deploy deep learning models trained on computed tomography (CT) scans to identify pathologies in the lungs for one of the largest pharmaceutical companies in the world. These models are currently undergoing FDA approval.Piloted a team of engineers to create and deploy deep learning models to detect the location of garments such as dresses, pants and handbags in a user uploaded image and filter out invalid images as part of a pipeline to construct a state of the recommender system for apparel for a fashion-tech startup.Helmed a team of engineers to build a deep learning model to identify in an image, various attributes of an apparel such as style, sleeve type, neckline type and length type for the above mentioned startup.
Junior Data Scientist
Created machine learning models to predict peer-to-peer (P2P) loan defaults based on data from two P2P lending platforms. More than $100,000 were invested by the client into notes based on such loans using only predictions from the models. Developed a model to predict student admissions and placements for a reputed IT Training provider. The model is currently used by the company to help it earmark students that are more likely to take admission and are easier to place. Built a model to predict which employees would leave a healthcare company and what are the factors that influence them quitting the organization.
Research Trainee
Graduate Trainee
Colleagues at Adform
Other employees you can reach at adform.com. View company contacts for 770 employees →
Laura-Aika Maro
Colleague at AdformOslo, Norway
View →
CD
Christophe Dupré
Colleague at AdformGreater Bordeaux Metropolitan Area, France
View →
CE
Claudia Emile Scigliano
Colleague at AdformCopenhagen, Capital Region Of Denmark, Denmark
View →
AP
Agnė Pacevičienė (Bražinskaitė)
Colleague at AdformLithuania
View →
RN
Radka Novák Floreková
Colleague at AdformCzechia, Czech Republic
View →
ŽD
Žygimantas Deveikis
Colleague at AdformLithuania
View →
ED
Elena Dadelytė
Colleague at AdformVilnius, Vilniaus, Lithuania
View →
IP
Ilona Pukelyte
Colleague at AdformVilniaus, Lithuania
View →
DČ
Dovydas Čeponis
Colleague at AdformKaunas, Kauno, Lithuania
View →
EK
Eimantas Kanaševičius
Colleague at AdformVilniaus, Lithuania
View →
Jash Shah education
Master Of Computer And Information Technology, Computer Science, 4.0/4.0
Certification, Big Data And Analytics, 9.77/10
Bachelor Of Science (B.Sc.), Economics, 3.34/4.0
Frequently asked questions about Jash Shah
Quick answers generated from the profile data available on this page.
What company does Jash Shah work for?
Jash Shah works for Adform.
What is Jash Shah's role at Adform?
Jash Shah is listed as Senior Data Scientist at Adform.
What is Jash Shah's email address?
AeroLeads has found 1 work email signal at @quantiphi.com for Jash Shah at Adform.
Where is Jash Shah based?
Jash Shah is based in Mumbai, Maharashtra, India while working with Adform.
What companies has Jash Shah worked for?
Jash Shah has worked for Adform, Quantiphi, Quantiphi, Inc., Lemoxo Technologies, and Great Place To Work® Institute (India).
Who are Jash Shah's colleagues at Adform?
Jash Shah's colleagues at Adform include Laura-Aika Maro, Christophe Dupré, Claudia Emile Scigliano, Agnė Pacevičienė (Bražinskaitė), and Radka Novák Floreková.
How can I contact Jash Shah?
You can use AeroLeads to view verified contact signals for Jash Shah at Adform, including work email, phone, and LinkedIn data when available.
What schools did Jash Shah attend?
Jash Shah holds Master Of Computer And Information Technology, Computer Science, 4.0/4.0 from University Of Pennsylvania.
What skills is Jash Shah known for?
Jash Shah is listed with skills including Microsoft Excel, R, Microsoft Office, Powerpoint, Research, Market Research, Python, and Sql.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trialCheck these profiles if this is not the Jash Shah you were looking for.
View similar profiles