Salil Chandra

AI Researcher

Bengaluru, Karnataka, India6 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building large-scale AI systems at Microsoft.
Recognized for innovative projects in Explainable Machine Learning.
Graduated with Institute Silver Medal from IIT Delhi.

Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on AI and NLP.

Contact

salil.iitd@gmail.com LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningDeep Learning

Other Skills

AlgorithmsArtificial Intelligence (AI)BashC (Programming Language)C++Computer VisionData MiningDatabase Management System (DBMS)GitHigh Frequency TradingJavaMathematicsMatlabPostgreSQLPyTorch

About

I’m a Senior Data & Applied Scientist with 5+ YoE in E2E development of AI products. I currently work at Microsoft Advertising, building large-scale Multimodal AI systems for Advertiser Intelligence and Ad Quality, enabling creative understanding and policy-aware insights that improve marketplace trust and advertiser outcomes. Previously at Goldman Sachs, I built Conversational AI and ML solutions as part of the Core NLP group. In the Credit & Fraud space for large-scale products such as the Apple Card, our work in Explainable Machine Learning was recognized among the top innovative projects at the firm. Prior to my corporate journey, I graduated with the Institute Silver Medal from the Indian Institute of Technology (IIT) Delhi, with a major in Electrical Engineering & minor in Computer Science.

Experience

Microsoft

2 roles

Senior Applied Scientist

Promoted

Aug 2025 – Present · 7 mos · Bangalore Urban, Karnataka, India · On-site

Applied Scientist II

Apr 2024 – Aug 2025 · 1 yr 4 mos · Bangalore Urban, Karnataka, India · On-site

Goldman sachs

4 roles

Associate (NLP)

Promoted

Sep 2023 – Apr 2024 · 7 mos · Bengaluru, Karnataka, India

Development & Implementation of SOTA algorithms for RAG-based Question Answering over financial documents
Scalable Summarisation logics/pipelines for Global-Markets Reports, Earnings Documents, etc.

Natural Language Processing (NLP)Machine LearningAlgorithms

Associate (Decision Science)

Promoted

Dec 2022 – Sep 2023 · 9 mos · Bengaluru, Karnataka, India

Senior Analyst (Decision Science)

Promoted

Jan 2022 – Dec 2022 · 11 mos · Bengaluru, Karnataka, India

Analyst (Decision Science)

Aug 2020 – Dec 2021 · 1 yr 4 mos · Bengaluru, Karnataka, India

Indian institute of technology, delhi

Undergraduate Teaching Assistant

Jan 2020 – Jul 2020 · 6 mos

Control Engineering (ELL 225)

Gartner

Data Science Intern

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

Natural Language Processing for Automating Content Moderation of Product Reviews on Peer Insights ( A B2B Enterprise Software Review Platform )
1. Used deep learning based text similarity models (Sentence Embeddings & Siamese LSTMs) to detect content plagiarism
2. Achieved 10X efficiency improvement and 40% quality improvement (in terms of legitimate detections) over existing algorithm
3. Designed an Aspect Based Sentiment Analysis model to detect rating-content mismatch for different product features
4. Designed an unsupervised keyphrase extraction based model using TextRank to score the quality of content of a review

National tsing hua university

Research Intern

May 2018 – Jul 2018 · 2 mos · Hsinchu County/City, Taiwan

Deep Learning Applications to Bioinformatics
1. Implemented DeepSurv : A Personalised Treatment Recommender System Using DNNs for better treatment effectiveness
2. Designed a Risk Intensity Classifier to predict the prognosis of a disease based on the clinical covariates of a patient
3. Applied advanced Semi Supervised Learning algorithms to extract information from large, unlabeled biological datasets

Natural Language Processing (NLP)Deep Learning