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Sanmitra Ijeri

Senior Software Engineer

San Francisco, California, United States11 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Deep Learning technologies.
  • Developed AI solutions enhancing productivity at Salesforce.
  • Proven track record in building automated machine learning platforms.
Stackforce AI infers this person is a SaaS expert with strong capabilities in Machine Learning and AI solutions.

Contact

Skills

Core Skills

Machine LearningDeep LearningPythonJava

Other Skills

CData StructuresSQLAlgorithmsHTMLJavaScriptApache SparkNLPSparkScalascikit-learntensorflowNaive Bayes ClassifierLogistic RegressionN-grams

Experience

11 yrs 10 mos
Total Experience
5 yrs 11 mos
Average Tenure
8 yrs 10 mos
Current Experience

Salesforce

4 roles

Senior Software Engineer

Mar 2025Present · 1 yr 3 mos · Vancouver, British Columbia, Canada · On-site

Senior Software Engineer

Promoted

Apr 2019Oct 2024 · 5 yrs 6 mos · San Francisco Bay Area

  • Einstein GPT (Generative AI)
  • Einstein GPT creates personalized content across every Salesforce cloud with generative AI, making every employee more productive and every customer experience better. For the platform, I am working on content masking of customer sensitive data in LLM Prompt using NLP models and toxicity detection of LLM generated text.
  • Einstein Prediction Builder (Prediction AI)
  • The Salesforce Einstein Prediction Platform provides AI technology to the Salesforce clouds to build production ready machine learning products. For the platform, I worked on the AutoML Library to generate customized models for a wide variety of clients using Spark / Scala.
CData StructuresJavaSQLAlgorithmsHTML+5

Software Engineer

Jun 2017Apr 2019 · 1 yr 10 mos · San Francisco Bay Area

  • Working on an automated machine learning platform to generate customized models for a wide variety of clients using Spark / Scala.
SparkScalaMachine Learning

Software Engineer Intern

Jun 2016Sep 2016 · 3 mos · San Francisco Bay Area

  • Lead Scoring Project: Built a prototype to predict whether a lead(contact/company) can be converted to a sale opportunity or not, by using different algorithms - Naive Bayes Classifier, Logistic Regression.
  • Opportunity Scoring Project: Built a prototype to predict whether an opportunity can be converted to a sale or not based on the text conversations, by using different algorithms - N-grams, Long short-term memory (LSTM) Networks.
  • Programming Language: Python
  • Machine Learning Tools: scikit-learn, tensorflow
PythonMachine Learningscikit-learntensorflow

D. e. shaw india software private limited

Senior Member Technical

Jul 2012Jul 2015 · 3 yrs · Greater Hyderabad Area

  • Built portfolio management tools for discretionary trading strategies(Convertible Bond Arbitrage, Mergers \& Acquisitions).
  • Developed UI, REST services for DARTS (Data Alert Reporting and Tracking System), a centralized system to track and resolve alerts related to trading, pricing, etc.
  • Developed Python web services and database for an application called FAME (Forecast and Merger Editor) to track mergers and run analysis to suggest trades.
  • Built portfolio management tools like P&L (Profit and Loss) Gadgets, Stock Charts, etc. which help the traders view and analyze the portfolios in a highly customized way.
  • Programming Language: Python, Java, SQL, HTML, JavaScript.
  • Frameworks/Libraries : J2EE(Mybatis, Hibernate, Spring, Struts), jQuery, Highcharts, SQLAlchemy, Numpy, Pandas.
PythonJavaSQLHTMLJavaScriptJ2EE+9

Education

UC San Diego

Master of Science (M.S.) — Computer Science(Specializing in Machine Learning)

Jan 2015Jan 2017

RV College Of Engineering

Bachelor of Technology (B.Tech.) — Computer Science & Engineering

Jan 2008Jan 2012

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