Shreyas Chatterjee

Software Engineer

1 yr 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Machine Learning and Data Science.
  • Strong background in software engineering at Meta.
  • Proven ability to lead cross-functional projects.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI/ML and Software Development.

Contact

Skills

Core Skills

Machine LearningData ScienceSoftware DevelopmentData Analysis

Other Skills

C++PythonAPIsData ExtractionJupyter NotebookStatistical MethodsGANsText to Image ModelsJavaScriptFlaskData ScrapingTechnical AnalysisSQLite3Artificial Intelligence (AI)Computer Vision

About

Working as a SWE at Meta in the Facebook organization. Obtained a Master's in Computer Science from Columbia University with a concentration in Machine Learning. Firm grasp of business needs and understanding of user requirements. Good communication and planning abilities. Eager to learn, grow and excel in the Machine Learning and Data Science industry.

Experience

1 yr 3 mos
Total Experience
1 yr 3 mos
Average Tenure
1 yr 3 mos
Current Experience

Meta

Software Engineer

Mar 2025Present · 1 yr 3 mos · Menlo Park, California, United States · On-site

  • Improved group engagement measurement by integrating downstream engagement signals, enhancing accuracy of group comment VPV tracking, and aligning metrics with the updated FES formula.
  • Led backend model optimization for GYSJ MTML by training and simplifying CPU-based models, reducing computational overhead while maintaining predictive performance.
  • Launched VM tuning and simplification, eliminating redundant terms in backend configuration, resulting in a streamlined system and improved model quality evaluation outcomes.
  • Partnered cross-functionally with legal, engineering, and product teams to implement feature removals from ranking models for EU/UK regions in response to regulatory requests; configured feature blocks, conducted A/B testing, and monitored key product metrics to inform ongoing model training.
C++PythonMachine LearningData Science

Emerge9

SDE Intern

May 2024Nov 2024 · 6 mos · New York, New York, United States · Remote

  • Created APIs of SOTA models from OpenAI, Anthropic, Mistral and Meta like GPT-4o, Claude, Llama3 etc. for data extraction and inferencing from charts, tables and other visual representations of data.
  • Utilized PromptFoo framework and Python for scripting and automation within a Jupyter Notebook environment.
  • Developed and executed test cases covering a variety of PDF documents, focusing on text extraction accuracy, handling diverse formats, and efficiency.
  • Created entire pipeline for a benchmarking tool for evaluating LLMs and their ability to reach and interpret data with user friendly command line interface.
  • Created multiple lambdas for working with data and functions on AWS using EC2 instances and S3 buckets
  • Created complete deployable backend code in C# for compiling LLM generated contents in markdown format, converting it to HTML and PDF formats and sharing a downloadable URL link.
  • Created complete frontend code in Angular Framework for a download PDF button which is deployed on the Emerge9 website.
PythonAPIsData ExtractionJupyter NotebookData Science

Ask2.ai

Research Student

Jan 2024May 2024 · 4 mos · New York, New York, United States · Remote

  • Analyzed transactional data from multiple future markets to understand impact of synthetic data and goal setting paradox
  • Trained and used transformer-driven addiction-perception GANs to create synthetic data using real data
  • Used statistical methods and transition probability matrix based methods for analysis of similarities and differences between real and synthetic data.
Data AnalysisStatistical MethodsGANsMachine Learning

Artificial intelligence institute at university of south carolina

Research Intern

Sep 2022Sep 2023 · 1 yr · Remote

  • Research on verifying facts in multimodal form.
  • Modified and implemented various text to image models and also developed a paraphraser for dataset generation.
  • Created pipeline for extracting 5W question-answers from both images and texts
Text to Image ModelsData ExtractionMachine Learning

Bytelearn.com

SDE Intern

May 2022Oct 2022 · 5 mos · Remote

  • Performed end-to-end development to convert seven math problems into user-friendly, visual, and interactive media deploying Python, JavaScript, Flask and Postman.
  • Modified various functions in code base for improving features.
PythonJavaScriptFlaskSoftware Development

Cadfolio global limited

Research Analyst

Mar 2021Aug 2021 · 5 mos · Remote

  • Scraped and created a database of 10000 potential overseas retailers.
  • Wrote backend code for software for converting raw data into descriptions for jewellery products.
  • Performed technical and competitive analysis, and revised search engine optimization
Data ScrapingTechnical AnalysisData Analysis

Iotiot.in

Project Intern

Aug 2020Sep 2020 · 1 mo · Remote

  • Part of a learning program including Machine Learning, Neural Networks and use of GitLab.
  • Wrote Python code for complete database integration using SQLite3 as a contribution to a Project - Number Plate Detection.
PythonSQLite3Software Development

Unschool

2 roles

Unschool Community Leader

May 2020Jul 2020 · 2 mos

  • Recruited a team of 10 people from various backgrounds and lead them to complete a the given target of subscriptions.

Unschool Community Influencer

Apr 2020May 2020 · 1 mo

  • Communication skills boosted
  • Marketing and sales skills learnt while promoting and getting enrollments for courses

Education

Columbia University

Master of Science - MS — Computer Science (ML Track)

Aug 2023Dec 2024

Indian Institute of Technology Jammu

Bachelor of Technology - BTech — Computer Science

Jun 2019May 2023

Delhi Public School - Navi Mumbai

High-Secondary School Completion — PCM & Information Practices

Jan 2017Jan 2019

Ryan International School Nerul

Secondary School

Jan 2014Jan 2017

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