Neural Networks and Deep Learning

MITx: 6.431x Probability - The Science of Uncertainty and Data

Introduction to Data Science in Python

Harvard CS50x

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Applied Text Mining in Python

Applied Machine Learning in Python

C++ Standard Template Library

Applied Plotting, Charting & Data Representation in Python

Bachelor of Technology - BTech

Building Samsara’s inhouse Time Series DB & Stream Processing Framework serving multi-million reads and writes per sec.

Previously: Gateway & Firmware Infrastructure, High-Volume Stream Processing, Location Platform

Work in the Core Services team part of the Platform & Infrastructure group (R&D).

Software Engineer, Core Storage

Community Writer

Helped build traveldglobe’s content platform. The services I developed helped in increasing the pagerank of traveldglobe.com pages on search engines.

Created services for five main functionalities: Most searched words, Missing keywords in content, Content Keyword Extraction, Google Rank Analysis, Plagiarism Detection.

Software Engineer, Intern

Analysing sentiment scores from tweets related to relevant stocks and predicting the sentiment impact on the market for the next day. Used state-of-art RNNs to evaluate scores.

Contributing Writer

TL;DR - Part of the ML Infrastructure team; Building storage, ingestion and compute systems for machine learning

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Leading development of ML Compute Platforms, based on a distributed compute infrastructure. 

Led search & feature discoverability projects for ML Infra metadata; setting up data pipelines, modeling indexes, materialization and ingestion to search index db.

Actively helped data science teams to migrate long running batch inference jobs to ray, reducing job run time by 77% (4.5x improvement).

Scoped and carried out caching and query optimizations for feature store (ML storage platform)

Built a scheduler and data ingestion service for feature store

Created an SDK library for ML platform services.

Built feature store integrations with other platform services

Carried out PoCs for enhancing MLOps capabilities

Software Engineer 3, ML Infrastructure

Work in the Core Services team part of the Platform & Infrastructure group (R&D).

Area of work: Gateway & Firmware Infrastructure, High-Volume Stream Processing

Software Engineer, Core Services

Projects:
- Designed the backend of a comprehensive reporting micro-service, that automates the creation of well-defined excel reports, and presents interactive dashboards to business users.
- Built a group insurance price estimation model to reduce the conversion time from prospect to opportunity by 60%.
- Created algorithms, using OpenCV to remove duplicate real-estate listings to maintain data quality and enhance the user experience

Data Scientist / Software Engineer

Building an in-house Feature Store (ML storage system) from scratch as a part of our ML Platform; implemented storage and metadata layer

Helped revamp a Data Quality Rule Engine, giving ability to use pre-defined checks, evaluate custom expressions, and orchestrate them through trino and spark jobs via Kubernetes APIs.

Wrote Lexers, Parsers to build ASTs (Abstract Syntax Trees) and AST Evaluators in Golang for evaluating DQ Validation Expressions

Software Engineer 2, ML Infrastructure

TL;DR - Leading Storage Infrastructure, Search, and ML

Being the first Data Scientist / Software Engineer at Koverhoop, I have been working on excitingly tough problems, in Insurance, and Real Estate domains.

Leadership:
- Led the development of the entire Storage Infrastructure from Database Replication, Real-time Stream Processing (Kafka based pipelines), to ML Pipelines to democratize data, set up BI & KPIs, and deploy models.
- Led development to build the in-house observability system based on open telemetry, replacing managed solutions, overall saving costs.
- Managed DevOps, from K8s to CI/CD pipelines and MLOps for klient.ca
- Architecture and Design for a novel open-source, multi-level text annotation system, Astronaut, leading a team of five.
- Having a say in company's direction.
- I actively hire for Infra, Data, and Platform teams.

Projects:
- Engineering stream-processing pipelines to denormalize relational data on-the-fly, and load it into elasticsearch to enable a se

Senior Data Scientist / Senior Software Engineer

Building astronaut.sh, app.fitcam.io, numcast.io

Know about Sahil Malhotra's work experience, education, bootcamps, certifications, and much more. Sahil Malhotra