Mohit Khanna — AI Researcher

Experienced Data Science Leader | Expert in Machine Learning & Deep Learning | Innovator in Real-World Data Product Development As a Lead Data Scientist at Google, I spearhead the content moderation team in crafting advanced machine learning solutions for automatic moderation of user-generated content (UGC) across diverse data modalities including factual data, reviews, photos, and videos. Our mission is to elevate information quality and content trust by safeguarding our platforms against abuse and vandalism. In my role, I lead a variety of crucial initiatives: establishing baseline metrics to monitor abuse prevalence, collaborating with product managers to develop robust defense strategies, working with engineers to design and deploy state-of-the-art machine learning models, build discovery models to detect abnormalities in labeled data, and implementing advanced sampling techniques for efficient model retraining. My focus on model sustainability ensures our machine learning systems maintain their effectiveness and scalability over time. Some of my notable previous work includes: - Developing an AI model to accelerate drug discovery through an automated AI workflow. - Enhancing photon imaging quality using self-supervised image denoising without ground truth access. - Creating a cell detection system for automatic localisation and classification of nuclei and microtubules in microscopic images. 🧰 SkillSet Generative AI: -- Prompt Engineering -- Model Fine Tuning -- Retrieval Augmented Generation (RAG) -- ReACT for building agentic workflow Cloud Computing: -- AWS Certified Solution Architect -- GCP Certified Data Engineer -- GCP Certified Cloud Engineer -- GCP Certified Cloud Developer Data Engineering: -- Exploratory Data Analysis -- Data Cleaning -- Feature Engineering -- Data Modelling -- Data Visualisation -- Data Mining -- ETL Statistics: -- Descriptive -- Inferential -- Predictive -- Prescriptive -- Bayesian Experimentation: -- Frequentist Approach -- Bayesian Approach (Multi Armed Bandit, Epsilon Greedy) Database: -- No SQL -- SQL Programming Language: -- Python -- SQL Modelling Techniques: -- Statistical Modelling Testing -- Machine Learning (Supervised, Unsupervised, Self-supervised, Semi-Supervised) -- Deep Learning Visualisation Tools: -- Tableau -- D3 Data science libraries: -- Pandas -- Numpy -- Seaborn -- Scikit-learn -- Tensorflow -- Keras -- NLTK

Stackforce AI infers this person is a Data Science expert in B2C environments focusing on content moderation and machine learning.

Location: Bengaluru, Karnataka, India

Experience: 10 yrs 3 mos