Ritesh Baldva

CTO

United States7 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Stackforce AI infers this person is a Machine Learning and Data Engineering expert with strong software development skills.

PythonReact

SQLAlchemyPySparkReduxD3C++Operating SystemsParallel ProgrammingJavaScriptNode.jsProgrammingAlgorithmsRaspberry Pi

My interest areas are Machine Learning, Graphical Models, and Parallel & Distributed Computer Systems.

7 yrs 9 mos

Total Experience

2 yrs 7 mos

Average Tenure

5 yrs 1 mo

Current Experience

4 roles

Promoted

Jan 2023 – Present · 3 yrs 5 mos

Promoted

Jan 2022 – Dec 2022 · 11 mos

Mar 2021 – Dec 2021 · 9 mos

May 2020 – Aug 2020 · 3 mos · New York, New York, United States

Automated the product pipeline for various deliverables by creating an execution framework using SQLAlchemy & PySpark
Brought operational maturity by releasing the framework via a Python Package, and creating tools to run, monitor and debug the pipeline from a Jupyter Notebook
Reduced the pipeline runtime by 20% through UDFs, broadcasts on PySpark and better key design choices for Redshift

SQLAlchemyPySparkPython

Jun 2017 – Aug 2019 · 2 yrs 2 mos

Planned and carried out a move of team utilities from independent scripts to hosted servers with no downtime.
Worked on an in-house Grid compute platform that allows running lambda functions on a Grid of compute servers through optimal routing.
Created a general framework to access in-house SecDB (Slang) services using REST endpoints running on the compute platform through a Java Interface.
Validated the compliance layer to find out critical gaps in the low-latency trading algorithms.

Mar 2016 – Sep 2016 · 6 mos · New Delhi

Architected front end based on React + Redux + D3. Built rich app user experiences, including the editor allowing users to create content. Also worked on recommendation algorithms for curating content.

ReactReduxD3

May 2015 – Jul 2015 · 2 mos · Pune Area, India

I worked with Avaya Research Labs Group within the area of Data Analytics and Machine Learning; in particular building a prototype for Customer Engagement Dashboard. My project included building a third party server application which tracks the user interactions and 'potential' customers are sorted out. Also built a triggering system for proactively (co-browse, chat) reaching out to the sorted visitors.