Anusha Acharya

Co-Founder

San Francisco, California, United States4 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Built AI R&D platform at Pipelines.
  • Improved Instagram's Follow Quality model accuracy by 21%.
  • Developed interactive chatbot for calorie tracking.
Stackforce AI infers this person is a Data Engineer with strong expertise in Machine Learning and AI-driven solutions.

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Skills

Core Skills

Machine LearningArtificial IntelligenceData EngineeringSoftware Engineering

Other Skills

AI R&D platformvisual DAG orchestration enginestate machine orchestrationmulti-tenant RBACeval systemsynthetic data pipelineincremental revenue reporting systemdata gaps identificationInstagram Follow Quality prediction modelReels Ads Follow Button launchinternal portal developmentAI-powered Away Messagesad content performancetroubleshooting toollogging system

About

A Computer Science graduate interested in the field of Machine Learning and Artificial Intelligence.

Experience

4 yrs 10 mos
Total Experience
1 yr 5 mos
Average Tenure
5 mos
Current Experience

Pipelines

Founding Engineer

Dec 2025Present · 5 mos · San Francisco Bay Area · On-site

  • Building an AI R&D platform
  • Founding Engineer #1 (first engineer after founders)
  • Built core platform infrastructure: visual DAG orchestration engine, state machine orchestration, and multi-tenant RBAC
  • Designed a 3-tier eval system (programmatic, LLM-as-judge, human ratings) and an agentic synthetic data pipeline with per-step course correction
AI R&D platformvisual DAG orchestration enginestate machine orchestrationmulti-tenant RBACeval systemsynthetic data pipeline+2

Meta

2 roles

Software Engineer IV

Feb 2025Dec 2025 · 10 mos · Menlo Park, California, United States

  • Built a self-serve incremental revenue reporting system used by 1,000+ engineers across product and analytics teams to inform launch decisions, revenue strategy, and align with corporate finance
  • Identified critical data gaps in Instagram’s Follow Quality prediction model; boosted score stability and accuracy by 21%, improving advertiser confidence in follower value metrics
  • Led technical efforts for the Reels Ads Follow Button launch, adding native-like follow functionality; achieved a +0.42% lift in ad score, and initiated expansion of this feature to Feed and Stories placements
incremental revenue reporting systemdata gaps identificationInstagram Follow Quality prediction modelReels Ads Follow Button launchData EngineeringMachine Learning

Software Engineer III

Oct 2023Jan 2025 · 1 yr 3 mos · Menlo Park, California, United States

  • Developed an internal portal to surface top-performing Instagram ad content, fixing a 16% impression under-reporting issue; extended UI to include CTA, captions, profile details, improving ad preview fidelity and audience insights
  • Spearheaded a proof-of-concept for AI-powered Away Messages on Messenger, enabling personalized, intent-driven auto-responses
internal portal developmentAI-powered Away Messagesad content performanceSoftware EngineeringMachine Learning

Bloomberg

Software Engineer

Feb 2023Oct 2023 · 8 mos · New York, United States

  • Implemented a troubleshooting tool by developing a robust logging system that recorded 10 million daily queries and responses. The data was stored in an AWS S3 bucket using a Kafka consumer
  • Contributed to the quality check tool for a backfill worker, ensuring consistent population and delivery of financial data
troubleshooting toollogging systemAWS S3KafkaSoftware Engineering

Meta

Data Engineer Intern

May 2022Aug 2022 · 3 mos · Seattle, Washington, United States

  • • Worked on the end-to-end implementation of new feature affecting over 80M daily active users

University of massachusetts amherst

Graduate Teaching Assistant

Jan 2022May 2022 · 4 mos · United States

  • Grader for COMPSCI 682: Neural Networks

Sandvik

2 roles

Data Specialist

Aug 2020Apr 2021 · 8 mos

  • Owner of End-to-End Digital Services solution for the Austria division, from data architecture, design, and build to customer-specific report generation leveraging MySQL, Azure Analysis Services, and Power BI
  • Built a decision tree model for predicting the breakdown of Loaders present in South Africa using live Telemetry and Maximo data reducing the downtime by 15%
  • Created user-defined functions in SQL for automating KPI validation for Udaipur’s Hindustan Zinc Limited reports resulting in a 40% increase in efficiency and 10% reduction in yearly costs
data architecturereport generationdecision tree modelSQLMySQLAzure Analysis Services+2

Graduate Engineering Trainee

Jul 2019Jul 2020 · 1 yr

Whitehat jr

Global Instructor

Jul 2020Sep 2020 · 2 mos

  • • Taught Python and basics of Machine Learning to students from Grade 9 and above
PythonMachine Learning

The valley bootcamp

Machine Learning Intern

Jul 2018Aug 2018 · 1 mo · Bengaluru, Karnataka

  • • Worked on building an interactive chatbot that could be used to calculate the daily calories intake of a person based on their meals and suggest options in case of needing calorie controlled diet.
interactive chatbotcalorie intake calculationMachine Learning

Education

University of Massachusetts Amherst

Master of Science - MS — Computer Science

Sep 2021Dec 2022

Visvesvaraya Technological University

Bachelor of Engineering — Computer Science and Engineering

Jan 2015Jan 2019

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