Suyash Namdeo

Lead ML Engineer

Bengaluru, Karnataka, India7 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Founding team member at AirMDR developing AI-driven security solutions.
Proven track record in optimizing machine learning algorithms at ShareChat.
Strong academic background with dual degree from IIT Kharagpur.

Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on AI applications in Ad Tech and Cybersecurity.

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Skills

Core Skills

Machine LearningGenerative AiOnline AdvertisingData ScienceComputer VisionProduct Development

Other Skills

AI AgentsAd TechAdvertisingAgentsAlgorithmsAmazon Web Services (AWS)Apache AirflowApplied Machine LearningArtificial Intelligence (AI)Big DataBigTableC (Programming Language)C++CUDAChatbot Development

About

As an IIT Kharagpur graduate, I hold a dual degree in Civil Engineering along with a minor in Computer Science Engineering. My profound interest in Generative AI, Machine Learning, System Design, and Quantitative Analysis fuels my commitment to solving real-world challenges and creating transformative impacts. Currently, I am part of the founding team at AirMDR, serving as a Machine Learning Engineer where I'm involved in building a virtual security analyst. Previously, I made significant contributions at ShareChat and Zomato, focusing on optimizing machine learning algorithms and implementing impactful data science solutions. My internships at IBM, KPIT and Bosch, greatly enriched my experience, providing deep insights into research and software engineering. I am ardently committed to the potential of AI for Social Good, actively engaging in initiatives that explore and expand the boundaries of emerging technologies.

Experience

7 yrs 6 mos

Total Experience

1 yr 6 mos

Average Tenure

2 yrs 11 mos

Current Experience

Entrepreneur first

Entrepreneur in Residence

Aug 2024 – Nov 2024 · 3 mos · Bengaluru, Karnataka, India

Airmdr, inc.

Senior Machine Learning Engineer

Jul 2023 – Present · 2 yrs 11 mos

Founding Engineer - Machine Learning
Developing a virtual security analyst: an AI-driven, agent-based system designed to detect and respond to threats and alerts, automatically generate playbooks, generate production ready code automatically, and deliver a wide range of advanced functionalities related to MDRs.

Generative AILarge Language Models (LLM)Applied Machine LearningChatbot DevelopmentProduct DevelopmentVirtual Assistance+7

Sharechat

2 roles

Machine Learning Engineer

Promoted

May 2022 – Jul 2023 · 1 yr 2 mos

Revenue, ROI and CPA Optimisation
Auctions, Calibrations and Auto-Bidding Strategies
Bid Landscape Estimation and Forecasting
Developed the auction layer and worked on Calibrations, Pacing, Bid Equations, ROI optimizations
Developed a Cost and CPA estimator for different Business Models and helped the AdOps team to scale
Implemented Reserve Pricing and improved the yield, and CTR by ~12% with a ~0.5% Revenue and a ~0.20% retention jump
Solved numerous advertisers' issues and scaled them by 100-200% by modeling winrate and bid landscape forecasting
Scaled the Platform Revenue by ~8% by optimizing the Bid Equations and Auction Flow
Awarded with 5/5 rating in the annual review cycle

Machine LearningApache AirflowOnline AdvertisingDeep LearningAdvertisingBigTable+6

Data Scientist

Sep 2021 – Apr 2022 · 7 mos

ADs Data Science - Monetization AI
CTR Prediction using Tree-based Models
Deep Funnel Modelling for installs & registrations
Model & Campaign Level Calibration, User Quality Assessment, Feature Importance Analysis and Evaluation
Received a Pre-Placement Offer for an MLE role

XGBoostGoogle Cloud Platform (GCP)Go (Programming Language)Data ScienceGoogle BigQuery

Zomato

Machine Learning Intern

Feb 2021 – Aug 2021 · 6 mos

Tag Annotation of Dish Images using MABs
Menu Digitization and Price Parity
Photo Quality Scoring
Received a Pre-Placement Offer for an MLE role

Applied Machine LearningReinforcement LearningComputer VisionSQLPython (Programming Language)Data Science+2

Ibm

Research Intern

Dec 2020 – Feb 2021 · 2 mos

Auto-EDA system (GRM)
Developed an Automatic EDA system using Actor Critic based reinforcment learning algorithm for hand-free data analysis
Implemented Seq-2-Seq model, LSTMs, HMMs, FSFCs algorithms like Normalized Cut, Generic SPEC for auto EDA traces

Applied Machine LearningReinforcement LearningNatural Language Processing (NLP)Predictive ModelingMachine Learning

Enjoy algorithms

Core Team Member

Aug 2020 – Aug 2021 · 1 yr

Designed System Design and Machine Learning Course

Machine LearningProduct DevelopmentSystems DesignProduct Management

Kpit

Software Engineer Intern

May 2020 – Jun 2020 · 1 mo · Pune, Maharashtra, India

Automatic Braking Control using Reinforcement Learning for Self-Driving Cars
Developed an Automatic Braking system with DDQN, Reinforce, and DDPG algorithms using Metacar, DuckieTown and Carla simulator
Implemented a new version of DDPG with parameter noise for faster convergence and better-simulating results
Received a Pre-Placement Offer for an SDE role

Reinforcement LearningComputer VisionData ScienceMachine Learning

Robert bosch engineering and business solutions private limited

Data Science Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India

Data driven Approach for Real time Traffic State Prediction using Deep Learning
Proposed a new framework for mesoscopic traffic state estimation using K-Means, SVMs, Neural Networks, and LSTMs while working with SUMO and VISSIM simulators
Used Variable Order Markov Chains to estimate the transition processes with 81.78% accuracy and state-specific learning models for speed prediction
Received a Pre-Placement Offer for an SDE role

Awaaz, iit kharagpur

Member

Aug 2017 – Jun 2019 · 1 yr 10 mos

Published insights regarding different issues like mess problems, elections, placements, internships, and General Championship while leading a team of more than 25 members and analyzed the various problems pertaining to the campus and took initiatives to reach out to the administration to resolve the issues