Shrey Jain

Co-Founder

Pittsburgh, Pennsylvania, United States6 yrs 9 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Developed innovative synthetic data generation pipeline.
Led key feature development at Salesforce for Fortune 500 clients.
Founded a startup focused on blockchain finance management.

Stackforce AI infers this person is a Data Scientist with a strong focus on AI and Blockchain technologies.

Contact

jainshreyp@gmail.com LinkedIn

Skills

Core Skills

Synthetic Data GenerationLlm Fine-tuningDeep LearningData ScienceSoftware DevelopmentGenerative AiProduct DevelopmentBlockchainC++

Other Skills

Business AnalyticsCascading Style Sheets (CSS)Computer ArchitectureComputer VisionCustomer AcquisitionD3.jsDeep Neural Networks (DNN)Digital MarketingGoogle SuiteHTMLJavaJavaScriptLarge Language Models (LLM)LeadershipMLOps

About

A budding Computational Data Scientist who aspires to develop and apply deep learning techniques such as LLMs to solve real-world problems. Amongst my broad interests, I'm currently focused on pushing the frontiers of safety reasoning through LLMs. I've previously worked on a new paradigm for watermarking synthesized audio during generation and not after it. I keep up with the latest developments in multimodal LMs, post-training for LLMs and synthetic data generation to expand performance boundaries. In what now seems like a previous life, I was a software developer applying primarily computer engineering skills to develop software at a High Frequency Trading firm and then at Salesforce. Alongside a full-time job, I participated in hackathons and even tried founding a startup in the blockchain world that went down with Bitcoin's nosedive in 2022.

Experience

6 yrs 9 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Tiktok

Machine Learning Research Intern

May 2025 – Aug 2025 · 3 mos · San Jose, California, United States · On-site

Delivered Synthetic data generation pipeline for training fine-ranking model in TikTok Search Ads recommendation.
Increased AUC and accuracy by 3-4% applying high-quality CoT generation and SFT (supervised fine-tuning)
approach from Li et al., 2025 (FAIR), and Group Relative Policy Optimization (GRPO) from DeepSeekMath.
Developed a scalable data curation pipeline through prompt engineering for frontier LLMs for high-quality labeling.
Devised full fine-tuning pipelines for upto 70B parameter LLMs using DeepSpeed ZeRO-3, vLLM.
Achieved 98% teacher performance with SLMs (Qwen2 0.5B-1.5B) distilled from fine-tuned Qwen3-8B teacher.

Synthetic Data GenerationLLM Fine-tuningReinforcement LearningRecommender Systems

Carnegie mellon university - school of computer science - language technologies institute

Teaching Assistant (Intro to DL, FCDS, DSS)

Dec 2024 – Aug 2025 · 8 mos · Pittsburgh, Pennsylvania, United States · On-site

TA for
11-785 - Introduction to Deep Learning by Professor Bhiksha Raj and Professor Rita Singh
11-637 - Foundations of Computational Data Science by Professor Kemal Oflazer
11-631 - Data Science Seminar by Professor Maarten Sap

Deep LearningData Science

Plus - personalized learning squared

Math tutor

Oct 2024 – Dec 2024 · 2 mos · Pittsburgh, Pennsylvania, United States · Remote

Stealth startup

Founder

Aug 2022 – Nov 2022 · 3 mos

Built a finance management software for blockchain native organizations, DAOs (Decentralized Autonomous Organizations) taking the product from my hackathon projects (at Polygon's BUIDL IT and Hedera's blockchain hackathon in 2022) to real-world DAOs.
Brought in 3 customers for a pilot but had to shut shop due to lack of funding and other prior commitments.

Product DevelopmentProduct MarketingCustomer AcquisitionBlockchain

Salesforce

Member of Technical Staff

Jan 2022 – Jul 2024 · 2 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

Led development of key features that empower multiple F500 companies and bring millions in revenue for Salesforce.
Developed and designed Data models and Backend architecture for parts of the Actionable Segmentation product
Delivered a summary generation tool for Life Sciences team, leveraging Salesforce Einstein and OpenAI LLMs.

Software DevelopmentJavaSystems DesignJavaScriptGenerative AI

Plutus research private limited

Software Developer

Jun 2021 – Jan 2022 · 7 mos · India

Improved nanosecond latency trading systems based on C++, leveraging OS and Network level optimizations.
Delivered a multi-core PnL report generation system capable of processing terabytes of daily trade logs in milliseconds. • Engineered multi-tiered distributed data storage strategy to extract insights and minimize repeated processing.

Software DevelopmentC++Python (Programming Language)Computer ArchitectureOperating SystemsShell Scripting

Undostres

Software Development Intern

Jan 2021 – Feb 2021 · 1 mo · Mexico City, Mexico

● Tools & languages: Amazon Web Services(CloudWatch), Docker, PHP, MySQL, JavaScript
● Learned & developed web products using PHP tech stack, also learned their hosting on AWS servers
● Redesigned & documented new beta feature testing, reduced requests to the server during page load by ~15x

Collegespace

3 roles

President

Promoted

Aug 2020 – Apr 2021 · 8 mos

Led the innovation & management of tech products, that help thousands of students of NSIT every day, leveraging the latest frameworks like react.js and flutter.

Content Writer

Aug 2018 – Aug 2020 · 2 yrs

Web Developer

Sep 2017 – Aug 2020 · 2 yrs 11 mos

Energy web

Blockchain Developer Intern

Aug 2020 – Nov 2020 · 3 mos · Zug, Switzerland

● Tools & languages: Python, D3.js, Parity Ethereum client, SQLite
● Developed an ETL pipeline for transaction data, created a plan of action for data dashboarding using Google Data Studio
● Analyzed over 12 million transactions to develop an algorithm to detect the true owner of EWT (a cryptocurrency)
● My projects laid foundational step towards monitoring the EWChain to help improve its functionalities

180 degrees consulting nsut

3 roles

President

May 2020 – May 2021 · 1 yr

Project Leader

Jun 2019 – May 2020 · 11 mos

Consultant

Mar 2019 – Jun 2019 · 3 mos

Evalueserve

Intern

May 2019 – Jul 2019 · 2 mos · Gurgaon, Haryana, India

Intern in the corporate and professional services division.
I worked as part of a research team for one of the world's top 3 management consulting firms
Worked on 10+ research tasks for case teams of one of the top 3 management consulting firms in the world
Automated a task through excel VBA, completing an 8-hour job in a few minutes; Recognized by my team’s AVP for it