Darshit  ·  Senior Python / ML Engineer  ·  5+ yrs

Mid-Level
5+ years experienceremote
Available within 48 hrs

Proof of scale

Production-grade Kubernetes clusters
Automated CI/CD workflows
Production-grade Kubernetes clustersAutomated CI/CD workflows

About Darshit

Darshit is a Machine Learning Engineer with 6+ years of experience specializing in AI technologies and production deployments. He has a strong background in developing and deploying machine learning models, particularly in computer vision and data mining.

5+ years of commercial experience in

AI / ML PlatformFinTechGaming

Skills(29)

PythonTensorFlowKubernetesGitHub ActionsJenkinsAWSPandasNumPyscikit-learnDockerDeep LearninggymKeras-RLMatplotlibNeural NetworkArtificial IntelligenceMediaPipeMeshLabComputer VisionOCRNLPNLTKTkinterkopsAWS S3AWS SQSCeleryShell ScriptingLinux

Why hire Darshit?

Production deploy authorityMentored 5+ juniors

Developed and deployed various machine learning models for fraud detection and sound classification.

Automated CI/CD workflows using Python, Jenkins, and GitHub Actions.

Managed production-grade Kubernetes clusters for online casino infrastructure.

Improved ASL sign translation accuracy by integrating text-to-speech capabilities.

Conducted comprehensive data analysis for credit risk assessment.

Successfully developed a classification model to identify 'bad' customers based on credit risk data.

Revamped fraud detection systems with new anomaly detection approaches based on historical gameplay logs.

Successfully developed a machine learning model for accurate classification of violent/non-violent sounds.

Project highlights(12)

Reinforcement Learning for Atari (Space Invader) – Machine Learning Engineer

Reinforcement Learning for Atari (Space Invaders) — Deep Q Learning agent training with replay memory experimentation.

Deep LearninggymKeras-RLMatplotlibNumPyTensorFlowPythonNeural NetworkArtificial Intelligence

Key outcomes:

  • Successfully implemented a Deep Q Learning algorithm to train an Atari game agent.

  • Improved training results through experimentation with replay memory.

Credit Risk Assessment – Machine Learning Engineer

Overview: This project focused on classifying customers as 'bad' or 'good' based on credit risk data. Responsibilities: Conducted comprehensive analysis on customer credit risk data to develop a classification model. Utilized data mining techniques for data collection and pre-processing. Developed and analyzed models using scikit-learn, Matplotlib, and NumPy.

Pythonscikit-learnMatplotlibNumPy

Key outcomes:

  • Successfully developed a classification model to identify 'bad' customers based on credit risk data.

Gesture Language Translator – Machine Learning Engineer

Overview: This project developed an ASL-to-speech conversion model to benefit the deaf community and caregivers. Responsibilities: Developed and trained the ASL-to-speech conversion model using a custom MediaPipe-generated dataset. Implemented an open-source API for remote and local model access.

PythonTensorFlowMediaPipe

Key outcomes:

  • Successfully developed and trained an ASL-to-speech conversion model.

Sound Classification – Machine Learning Engineer

Overview: Developed a machine learning model to classify sounds as violent or non-violent, crucial for emergency situations. Responsibilities: Developed a machine learning model for accurate sound classification.

PythonTensorFlowscikit-learn

Key outcomes:

  • Successfully developed a machine learning model for accurate classification of violent/non-violent sounds.

Fraud Detection System – Machine Learning Engineer

Overview: Revamped a fraud detection system by developing new anomaly detection approaches. Responsibilities: Developed new anomaly detection approaches for player gameplay.

PythonDeep Learning

Key outcomes:

  • Successfully revamped an existing fraud detection system.

Industry experience

AI / ML Platform

6 projects
  • •Gesture Language Translator— Machine Learning EngineerPython · TensorFlow · MediaPipe
  • •Sound Classification— Machine Learning EngineerPython · TensorFlow · scikit-learn
  • •Ransac— Machine Learning EngineerPython · MeshLab · Artificial Intelligence · Computer Vision
  • •Optical Character Recognition (OCR) Python Application— Machine Learning EngineerPython · OCR · NLP · NLTK +5
  • •Reinforcement Learning for Atari (Space Invader)— Machine Learning EngineerDeep Learning · gym · Keras-RL · Matplotlib +5
  • •Project— Software Engineer TraineePython · Jenkins · Linux · Shell Scripting

FinTech

1 project
  • •Credit Risk Assessment— Machine Learning EngineerPython · scikit-learn · Matplotlib · NumPy

Gaming

2 projects
  • •Gesture Language Translator— Machine Learning EngineerPython · TensorFlow · MediaPipe
  • •Fraud Detection System— Machine Learning EngineerPython · Deep Learning

Ready to work with Darshit?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience5+ years
Work moderemote
Starting from₹1.6 L/mo
Direct hirePossible
Start within48 hours
From₹1.6 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem ownerCode reviewer
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Darshit

LLM