Mihir Khandekar
Tech Lead at Scout | Helping Staffing Companies increase revenue using AI
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolMihir Khandekar is a Tech Lead based in Singapore with 9 years of experience building AI-driven, production-grade data platforms and search systems. He has led end-to-end architecture and delivery for a SaaS recruitment intelligence product used by 350+ recruiters and powering 8M+ candidate profiles, focusing on high-volume enrichment pipelines, LLM-powered matching, and cost/performance-tuned infrastructure. His background blends applied research in privacy and membership inference attacks (contributing to the ML Privacy Meter release) with practical engineering—shipping automated outreach engines, recommendation systems, and resilient microservice deployments on AWS and DigitalOcean. Comfortable moving between research and production, he pairs hands-on ML/infra implementation with measurable business impact: slashing candidate discovery from hours to minutes and boosting conversion through sequenced outreach. An early mobile app founder and former NLP engineer, he brings product intuition and cross-market integration experience to complex data and AI challenges.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B. Tech.), Computer Engineering, Bachelor of Technology (B. Tech.), Computer Engineering at COEP Technological UniversityMaster of Computing, Artificial Intelligence, Master of Computing, Artificial Intelligence at National University of Singapore
English, Marathi, Hindi, French
Stackoverflow
108reputation
13kreached
6answers
6questions
Github Skills (18)
data-visualizations10
python10
machine-learning10
data-visualisation10
mask-rcnn10
tensorflow10
faster-rcnn10
data-visualization10
data-privacy10
keras9
eclipse6
scrapy6
broadcast-receiver6
spring-security-rest6
android6
Programming languages (5)
Github contributions (5)
privacytrustlab/ml_privacy_meter
Apr 2020 - Jan 2021
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Role in this project:
ML Engineer
ML EngineerContributions:48 commits, 15 PRs, 7 comments in 9 months
Contributions summary:Mihir contributed significantly to implementing a membership inference attack within the repository. They added an AlexNet tutorial, demonstrating the use of a CNN for a classification task with the CIFAR-100 dataset. Further contributions included generating various plots for data visualization related to privacy risk analysis, including histograms, ROC curves, and gradient norm analysis. These visualization efforts were critical for analyzing the effectiveness of the attack.
privacy-auditmeterdata-auditinformation-leakagedata-privacy
mihirkhandekar/signaltower
Feb 2017 - Apr 2022
Contributions:1 PR, 1 push, 1 branch in 5 years 3 months
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