Sanjana Kothari

AI Researcher

San Francisco, California, United States7 yrs 9 mos experience

Key Highlights

  • Expert in machine learning systems and predictive modeling.
  • Proficient in building end-to-end ML pipelines.
  • Contributed to open-source ML tools for better workflows.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in predictive analytics and cloud deployment.

Contact

Skills

Core Skills

Machine LearningNlp/llmsNatural Language Processing (nlp)

Other Skills

Time series forecastingAnomaly detectionRetrieval Augmented Generation (RAG)Large Language Models (LLM)Classical MLSearchData pipelinesRegressionClusteringETL and data pipelinesData EngineeringMLOpsAmazon Web Services (AWS)Deep LearningPyTorch

About

I work on machine learning systems across predictive modeling, anomaly detection, time series forecasting, and NLP/LLM applications. My experience includes building end-to-end pipelines—from data preparation and feature engineering to deployment, monitoring, and evaluation on cloud platforms. I’ve contributed to solutions that reduce operational downtime, improve model accuracy, lower infrastructure costs, and support revenue growth through more reliable forecasting and decision systems. Outside of work, I build open-source tools that focus on evaluation and automation in ML workflows. Projects like EvalBench and MLOps Toolkit are designed to make model assessment, reproducibility, and deployment more reliable and efficient for practitioners and teams. Focus areas: Machine Learning • NLP/LLMs • Time Series & Anomaly Detection • Production ML Systems • RAG Workflows • Cloud Deployment (AWS)

Experience

7 yrs 9 mos
Total Experience
1 yr 6 mos
Average Tenure
1 mo
Current Experience

Meta

Network Quantitative Engineer

Apr 2026Present · 1 mo · Menlo Park, California, United States

Honeywell

Machine Learning Engineer

Jun 2024Apr 2026 · 1 yr 10 mos · Atlanta, Georgia, United States

  • Time series forecasting, Anomaly detection, Retrieval Augmented Generation (RAG), Large Language Models (LLM), Classical ML
Time series forecastingAnomaly detectionRetrieval Augmented Generation (RAG)Large Language Models (LLM)Classical MLMachine Learning+1

Nokia

Machine Learning Intern

Sep 2023Dec 2023 · 3 mos · Sunnyvale, California, United States

  • Natural Language Processing (NLP), Search, Large Language Models (LLMS)
Natural Language Processing (NLP)SearchLarge Language Models (LLM)

Honeywell

Data Science Intern

Jun 2023Aug 2023 · 2 mos · Atlanta, Georgia, United States

  • Classical ML, Data pipelines
Classical MLData pipelinesMachine Learning

Shell

Data Scientist

Aug 2021Aug 2022 · 1 yr · Bengaluru, Karnataka, India

  • Time series forecasting, regression, clustering, anomaly detection
Time series forecastingRegressionClusteringAnomaly detectionMachine Learning

Wells fargo

Associate Data Scientist

Aug 2020Aug 2021 · 1 yr · Bengaluru, Karnataka, India

  • Machine learning, Anomaly detection, ETL and data pipelines
Machine learningAnomaly detectionETL and data pipelinesMachine Learning

Aarohi, vnit nagpur

2 roles

Core Coordinator

May 2019Feb 2020 · 9 mos

Event Organizer

Jan 2017Apr 2019 · 2 yrs 3 mos

Morgan stanley

QA Summer Analyst

May 2019Jul 2019 · 2 mos · Mumbai, Maharashtra, India

Hcl technologies

Student Intern

Sep 2018Feb 2019 · 5 mos

Visvesvaraya national institute of technology

3 roles

Student Mentor

Jul 2018May 2020 · 1 yr 10 mos · Nagpur, Maharashtra, India

Ladies Representative of the Computer Science Department

Jul 2017Jul 2018 · 1 yr · Nagpur, Maharashtra, India

Girls Hostel Representative

Jul 2016Jul 2017 · 1 yr · Nagpur, Maharashtra, India

Education

San José State University

Master of Science - MS — Data Science

Aug 2022May 2024

Visvesvaraya National Institute of Technology

Bachelor of Technology - BTech — Computer Science and Engineering

Jul 2016May 2020

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