Berlin · Remote · Open to Principal & Lead Roles

ML that ships.
Into production.

Recommendation engines. Fraud classifiers. Speech models for millions. 3 apps on the App Store. 8+ years of ML from research to revenue.

Kamaljeet Singh · ML Engineer & AI Builder
ship. learn. iterate.
About

I solve hard problems. ML is how I do it.

Hi, I'm Kamal. I've spent 8 years building ML systems that ship into production — personalisation engines that lifted conversions by 2.5%, fraud classifiers with full explainability, computer vision that cut manual selection effort by 90%, and speech models that went live for millions of Alexa users in Germany. I care about the business problem first and the model second.

Outside my day job I build my own products. I've published 3 iOS apps to the App Store — built entirely with Swift and agentic coding — and I'm actively developing SaaS tools in the AI/lead-intelligence space. I've aligned teams around ML direction, mentored engineers, and published at ECCV. I'm looking for a role where technical depth and strategic impact aren't separate jobs.

MSc CS · Univ. Freiburg · GPA 1.5 Berlin, Germany · Remote ECCV Publication 3 App Store apps
Experience
2021 — Present
HolidayCheck GmbH
Senior Data Scientist
  • OfferPromoter — personalized recommendation engine, +2.5% conversion uplift
  • Looker–Booker — classification powering personalized marketing strategy
  • Fraud Detection — explainable SHAP classifier that improved review speed and accuracy
  • MLflow on Kubernetes — standardized team workflows and reduced development errors
  • Shaped AI adoption with Burda leadership · mentored junior data scientists
2020 — 2021
Amazon
Applied Scientist
  • Alexa German ASR — shipped LM rescoring that reduced WER for millions of users
2018 — 2020
HolidayCheck GmbH
Data Scientist
  • Travel Recommender — personalized engine, 50% higher CTR vs static baseline
  • Neural Image Assessment — quality model cut manual selection effort by 90%
  • Conversational AI — multilingual chatbot built on sentence embeddings
2015 — 2018
Univ. Freiburg & Uniklinikum
Research Assistant
  • ML for debate-video analysis using real-time audience response data
  • Built a virtual-microscopy learning tool for medical education
2014 — 2015
Infosys · Chandigarh, India
System Engineer
  • Early-career enterprise software engineering—the foundation for my transition into ML
Published on the App Store
VoiceDoc transcription screen
VoiceDoc
Record, transcribe & transform voice into structured documents — entirely on-device. Local AI, 100+ languages, no cloud.
App Store ↗
NimbleDay priority planning screen
NimbleDay
Energy-based task & goal planner with weekly goals, focus sessions, habits and iCloud sync.
Visit site ↗
Sehaj Breath meditation screen
Sehaj Breath
Calm breathwork, guided meditation and emotion journaling. No streaks, no pressure.
App Store ↗
Research & Certifications
ECO: Efficient Convolutional Network for Online Video Understanding · ECCV arxiv →
Deep Reinforcement Learning Nanodegree
Computer Vision Nanodegree
NLP Nanodegree
TensorFlow Developer
Machine Learning on Google Cloud
Deep Learning Specialization
In Development
01
LeadBloom

Evidence-first lead intelligence. AI agents discover buying signals across Reddit, Hacker News, GitHub, Product Hunt & 7+ more platforms. Full-stack SaaS with multi-tenant auth.

Next.js · FastAPI · Supabase · Gemini LLM
View live product ↗
02
High Intent Lead Engine

Agentic B2B sales engine. Profiles companies, ranks accounts by intent signals, generates personalized outreach — fully autonomous pipeline.

Next.js · Python Agents · LLMs · Supabase
Skills
ML / AI
Machine Learning Deep Learning NLP Recommender Systems Computer Vision LLM Agents SHAP / XAI
MLOps / Infra
MLflow Kubernetes Docker AWS SageMaker AWS EC2 / Lambda GCP Vertex AI
Data / Viz
Python SQL Plotly Matplotlib Grafana
Frontend / Mobile
Swift / SwiftUI Next.js React JavaScript FastAPI

Let's
talk.

Open to Principal ML Engineer, Principal Data Scientist, Forward Deployed ML Engineer, and ML Lead roles in Europe.