Sharvi Endait

Software Engineer

Boston, Massachusetts, United States2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led award-winning projects in AdTech.
Developed state-of-the-art NLP systems.
Contributed to large-scale datasets for research.

Stackforce AI infers this person is a skilled Software Engineer with a focus on AdTech and AI-driven solutions.

Contact

Skills

Core Skills

Software DevelopmentNatural Language Processing (nlp)Machine Learning

Other Skills

Retrieval-Augmented Generation (RAG)GrafanaApache KafkaRedisKubernetesJenkinsSpring BootSpring MVCTransformersLarge Language Models (LLM)Software DocumentationProtocol BuffersBLoCState ManagementFlutter

About

Reach out to me: sharviendait@gmail.com

Experience

2 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

Pubmatic

2 roles

Software Engineer

Jul 2024 – Aug 2025 · 1 yr 1 mo · Pune, Maharashtra, India · Hybrid

1. Led the design and implementation of a multi-player dynamic rescanning architecture that integrated IAB VAST Tester and Fluid Player, resulting in a 10% reduction in fatal video creative errors.
2. I contributed to enhancing Google OB Pub/Sub–based pipelines by resolving sensitive IAB category misclassifications and collaborated with the CTO’s office to build a Slack bot that powers PubMatic Brain’s multi-agent orchestration and daily engineering workflows.
3. Additionally, I improved Agile maturity by boosting code coverage by 40%, addressing major dependency vulnerabilities, and developing an internal hackathon tool that auto-detects and triggers alerts for dependency risks and PI P2 issues.
Part of the team behind the Creative Approval Tool that earned the Leaders and Innovators Award.
Served as the spike owner for the Privacy Sandbox Protected Audience Flow within the Ad Quality team.

Retrieval-Augmented Generation (RAG)GrafanaApache KafkaRedisKubernetesJenkins+24

Software Engineer Intern

Feb 2024 – Jul 2024 · 5 mos · Pune, Maharashtra, India · Hybrid

L3cube (pict linux user group)

Research Intern

Aug 2023 – May 2025 · 1 yr 9 mos · Pune, Maharashtra, India · Remote

MahaSQuAD and IndicSQuAD: Largest Indic question answering dataset, for over 10 languages.
State of the art - baseline models for the same.
Robust span detection algorithm, post translation.

Golain

Software Intern

Feb 2023 – Aug 2023 · 6 mos · Pune, Maharashtra, India · Hybrid

Contributed to the development of a cutting-edge Flutter BLE package for Golain.
Successfully integrated Golain platform APIs into the Golain package, enhancing its functionality and capabilities.
Created the Golain platform shell application and contributed to the Golain consumer shell application, catering to the needs of Golain platform users, and providing a seamless experience to the end consumers.
Leveraged the Golain Platform shell and SDK to enable bidirectional data transmission using BLE and Platform APIs, optimizing data exchange efficiency.
Integrated Casdoor and Auth0 authentication services and FCM in the platform and consumer shell application.
Contributed to the Golain official documentation using Docusauras.
Developing User meta data APIs for Golain backend.

Omdena

Junior Machine Learning Engineer

Dec 2022 – Jan 2023 · 1 mo

Collaborated in creating a conversational AI chatbot to assist individuals impacted by inflation.
Provided innovative ideas for implementing NamedEntity Recognition (NER) techniques.
Conducted data scraping from various online sources,including Reddit and blogs, to generate relevant datasets.

Pune institute of computer technology

Research Assistant

Oct 2022 – Jun 2024 · 1 yr 8 mos · Pune, Maharashtra, India

CAILMD Lab - Mentor : Prof. Dipali Kadam
Built a System for extracting entities from customer conversation audios. I used the Wav2Vec2 model for speech recognition and Flair, and the CoreNLP model for named entity recognition. Achieved an 87% accurate model to extract the right entities.
Worked on Semantic Similarity Analysis involving Supervised, Unsupervised, and Cross-linguistic learning for English, Marathi, Hindi, and Spanish for SemEval'24. Submission accepted at SemEval'24 workshop at NAACL' 2024
Computer Vision Lab - Mentor: Dr. Geetanjali Kale
Created a system that uses a robust LLM setup to evaluate the textual answers and assign scores to it and leverages Yolo V5 and Craft for generating a textual representation of the diagrams, and passes it to an LLM like Mistral AI to generate diagram scores. Won the INC Runner up prize for the best project in ML category.