Deepak Bansal

AI Researcher

Bengaluru, Karnataka, India6 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in deploying NLP models for e-commerce.
Strong background in machine learning and deep learning.
International research experience in AI and ML.

Stackforce AI infers this person is a Machine Learning and AI specialist with experience in E-commerce and Finance.

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Skills

Core Skills

Natural Language Processing (nlp)Machine LearningDeep LearningNatural Language Processing

Other Skills

AlgorithmsAndroid DevelopmentBlockchainC#C++CSSData AnalysisData MiningData StructuresDatabase SystemsGenerative AIGithubHTMLInformation RetrievalJava

About

I am an AI & ML Scientist at Amazon. Particularly, I am working in the field of NLP for the Amazon Advertising business on cutting-edge technologies. I have deployed multiple Deep learning models in production for shopper trust enhancement & content moderation. I work end-to-end from model training to model deployment to model maintenance & retraining. Earlier, being a Machine Learning engineer at Goldman Sachs, I was working on some exciting and impactful problems in the field of Investment Banking. I hold Bachelor's and Master's dual degree in Computer Science & Engineering from the Indian Institute of Technology (IIT) Delhi. I have pursued Machine Learning research internships at The University of Tokyo and Hiroshima University. I was also selected for an immersive foreign exchange programme at École Nationale Supérieure des Mines-Télécom de Lille-Douai, France. Also, I interned in the Global Markets division at Goldman Sachs, Hong Kong during Summers of 2018. I am interested in the fields of Artificial Intelligence, Machine Learning, Natural Language Processing, Deep Learning, Data Sciences, Computational Finance and Investment Banking. I am passionate about traveling and exploring cultures of different societies in the pursuit of which I have been to 15 countries so far. My other interests lie in Debating and Cricket.

Experience

6 yrs 11 mos

Total Experience

3 yrs 6 mos

Average Tenure

5 yrs 2 mos

Current Experience

Amazon

Applied Scientist II

Feb 2021 – Present · 5 yrs 2 mos · Bengaluru, Karnataka, India

I am an AI Scientist at Amazon. Particularly, I am building NLP, multi-modal models for the Amazon Advertising business. I have deployed 10+ Deep Learning models in production for shopper trust enhancement & content moderation. I work end-to-end from data preparation to model training to model deployment to model maintenance & retraining. I have also worked on optimizing LLM Inference as well as Model Interpretability. I have also been able to publish few papers in this role.

Generative AINatural Language Processing (NLP)Machine Learning

Goldman sachs

Machine Learning Engineer

May 2019 – Feb 2021 · 1 yr 9 mos · Greater Bengaluru Area

Developed multiple Machine Learning models for predicting funding and liquidity requirements of the firm as part of the Finance Data Science team in Corporate Treasury division.

Hiroshima university

Deep Learning Intern

Dec 2018 – Jan 2019 · 1 mo · Hiroshima, Japan

I was one of two students nominated under ILDP Program with a scholarship by the Japanese government. Being supervised by Prof. Takio Kurita, I developed deep learning models for natural language processing in order to predict political ideology at the sentential level. I Implemented 3-layer LSTM neural network with 300-dimensional word2vec embeddings trained on US Congressional Record dataset.

Goldman sachs

Machine Learning Intern, Hong Kong

May 2018 – Jul 2018 · 2 mos · Hong Kong SAR

Summer Intern in the Asia Macro Strats team in Global Markets Division at Goldman Sachs, Hong Kong. I worked on creating Live Dollar Price and IR Delta Risk Prediction ML Models for exotic derivatives. Another project, I worked on involved setting up Instances of Internal Cloud Computing environment for parallel computation of various market sensitivities.

The university of tokyo

Summer Research Intern - ML

May 2017 – Jul 2017 · 2 mos · Tokyo, Japan

I was one of the 10 students selected nationally via the Indian Japanese Education Program and was awarded JASSO Scholarship by the Govt. of Japan. My project involved identifying 10 prominent biomarker clusters from a dataset of 68k peripheral blood cells using Consensus Clustering. I also implemented ScNORM, Quantile Regression based robust Normalization technique and extracted Recurring Motif Sequences. Finally, I developed a comprehensive R module incorporating data filtration, dimensionality reduction (PCA) & t-SNE visualizations

Leena ai

Software Development Intern

May 2015 – Jul 2015 · 2 mos · Greater Delhi Area

Worked along with founders of Leena AI during its initial phase. I contributed towards the development of web application and developed Python scripts for automating information retrieval & web parsing.