Waseem Mohd

Lead ML Engineer

Bengaluru, Karnataka, India10 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 10 years of R&D experience in diverse domains.
Expertise in Machine Learning and Data Science applications.
Proven track record in cybersecurity and anomaly detection.

Stackforce AI infers this person is a Data Science and AI expert with a strong focus on cybersecurity and logistics.

Contact

was18106@gmail.com +918800938186 LinkedIn

Skills

Core Skills

Machine LearningData ScienceAiCybersecurity

Other Skills

.NETAbuse detectionAdversary TrajectoryAlgorithmsAmazon Web Services (AWS)Anomaly DetectionApache KafkaApache SparkArtificial Intelligence (AI)Big DataCChurn PredictionCustomer SegmentationData AnalysisData Analytics

About

10+ years of R&D experience in domains ranging from Voice Assistant, Trust & Safety, Geospatial Data Science, Logistics/Supply Chain and Cybersecurity. Across the span of my career I have had the privilege of working with a wide range of organisations, varying from early stage startups to well established MNCs. This has helped me develop a learn-do-and-deliver attitude.

Experience

Google deepmind

Senior Machine Learning Engineer

Apr 2025 – Present · 11 mos · Hybrid

Gemini Post-Training
Reinforcement Learning, SFT & Evals

Reinforcement LearningSFTEvalsMachine Learning

Google

Senior Machine Learning Engineer

Sep 2022 – Apr 2025 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Google Assistant: Powering next generation of NLP features in Google Assistant with LLMs.
Google Maps: Fought Abuse and Vandalism in Google Maps. Fine Tuned LLMs for Abuse detection , Information Quality scoring and generative use cases.

NLPLLMsAbuse detectionInformation Quality scoringMachine Learning

Aidash

Senior Data Scientist

Jan 2021 – Aug 2022 · 1 yr 7 mos · Hybrid

Trained and deployed Deep Learning models to process multispectral images, SAR images and Weather forecasts.
Image Segmentation using Fused U-Net Architecture on Satellite + SAR images
ANN for weather damage forecasting in a utility network

Deep LearningImage SegmentationWeather forecastingData Science

Delhivery

Senior Data Scientist

Sep 2019 – Jan 2021 · 1 yr 4 mos · Gurgaon, India

Worked on Network Optimisation, System Direction, Simulation and package ETA prediction problems.
Designed a scalable, dynamic and event driven ETA prediction model.

Network OptimisationSimulationETA predictionData Science

Neuriot technologies

AI Consultant

Jan 2019 – Aug 2019 · 7 mos

Assisted Sales and Marketing team of IndiaMart in targeted sales actions via Customer Segmentation and Churn Prediction Models

Customer SegmentationChurn PredictionAI

Fourkites, inc.

Data Scientist

Oct 2018 – Apr 2019 · 6 mos

Worked on Ocean ETA and Dwell Time prediction problem.

Acalvio technologies

Data Scientist

Jan 2016 – Aug 2018 · 2 yrs 7 mos · Bengaluru Area, India

R&D on various Security Data Science features in Acalvio's Distributed Deception Platform, mainly using SIEM data collected from network and endpoint devices.
Adversary Trajectory - Developed a patented methodology for predicting the most probable path of an attacker in an Enterprise Network by backtracking from an infected device.
Powershell Intent mining :- Trained AST and character based ML models to identify obfuscated Powershell code, predict the intent of script and mapped malicious scripts to MITRE Kill Chain.

Security Data ScienceAdversary TrajectoryPowershell Intent miningCybersecurity

Microsoft

SDE(Machine Learning)

Jul 2014 – Aug 2015 · 1 yr 1 mo · Bengaluru Area, India

Worked on Bing’s Network Protection Stack which acts as first line of defense against Click Bots / Malicious Scrapers and classifies traffic into Billable/Non-Billable.
> Stream Anomaly Detection to detect fake clicks
> Webpage classifier to detect phishing pages

Anomaly DetectionWebpage ClassificationCybersecurity