Sarthak Rastogi

AI Researcher

Auckland, Auckland, New Zealand2 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built enterprise-grade AI products with 200,000+ users.
First AI Engineer at a $300M U.S. company.
Conducted ML research at top universities worldwide.

Stackforce AI infers this person is a skilled AI Engineer with expertise in Fintech and advanced machine learning applications.

Contact

Skills

Core Skills

Ai AgentsMachine LearningNatural Language ProcessingDeep Learning

Other Skills

SQLData WarehouseBlockchainFinancial DataKnowledge GraphsEmbedding ModelsEntity ExtractionReal-Time ProcessingTransfer LearningAir Quality SensorsSpeech ClassificationIntent ClassificationGraph Convolutional NetworksData ScrapingGenerative AI

About

I'm an AI Engineer with 3 years of experience working with RAG and AI agents. I have two degrees in Data Science, and have done research work on ML in top universities worldwide. I've built enterprise-grade AI products with 200,000+ users.

Experience

2 yrs 10 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 3 mos

Current Experience

One new zealand

Generative AI Engineer

Feb 2025 – Present · 1 yr 3 mos · Auckland, New Zealand

Space and time

2 roles

Software Engineer, AI

Jun 2023 – Jan 2025 · 1 yr 7 mos

First AI Engineer at a $300M U.S. company. Built the data warehouse's SQL generation agent used 200,000+ times. Responsible for maintaining the AI agent and ensuring accurate results over several blockchains' and financial institutions' data.

SQLAI AgentsData WarehouseBlockchainFinancial DataMachine Learning

Software Engineer Intern

Feb 2023 – May 2023 · 3 mos

AI and Product Strategy

Artificial intelligence institute at university of south carolina

NLP Research Intern

Sep 2022 – May 2023 · 8 mos

Worked on SLMs and some LLMs before the ChatGPT API era.
Combined knowledge graph retrieval with embedding models to create knowledge-infused embeddings with the ConceptNet KG.

Prodigal

ML Intern

Aug 2022 – Jan 2023 · 5 mos

Implemented entity extraction models for real-time processing of phone calls with customers, for compliance and info extraction. Successfully integrated 200+ unique extractors into Prodigal’s ProNotes software.

Entity ExtractionReal-Time ProcessingMachine Learning

Technical university of munich

ML Research Intern

Jun 2022 – Aug 2022 · 2 mos

Trained transfer learning models for calibrating air quality sensors to the performance of high-end laboratory sensors. Used BiLSTM, TFT and DNN models to predict the concentration of NO2 in Swiss, Indian and German cities with an R2 score of over 96% in each case. Successfully adopted the model trained on Harkingen data to calibrate sensor readings taken in Delhi NCR and Mumbai.

Transfer LearningAir Quality SensorsMachine Learning

Indian institute of technology, kharagpur

NLP Intern

Jun 2022 – Aug 2022 · 2 mos

Trained a speech classification model using Wav2Vec2 to classify the mention of terms in queries sent to healthcare professionals. Also trained a transformer encoder for intent classification on Hindi translations of the queries.

Speech ClassificationIntent ClassificationNatural Language Processing

Okkular.io

Deep Learning Intern

Jun 2021 – Aug 2021 · 2 mos

Optimised a Nodewise Graph Convolutional Network stylegen model to improve the compatibility of the generated outfits. Achieved 80% correct rankings and a Bayesian personalised ranking loss of 1.12 during validation after training on the Alibaba Personalised Outfit Generation dataset.
Automated scraping and cleaning of image data from e-commerce sites, on Sagemaker; created web apps for faster annotation of the obtained products' features and the generated outfits' rating by fashion experts.

Graph Convolutional NetworksData ScrapingDeep Learning