Darshit  ·  ML Engineer  ·  5+ yrs

Mid-Level
India5+ years experienceremote
Available within 48 hrs

About Darshit

Darshit is a seasoned Machine Learning Engineer with a robust experience in AI technologies, particularly in computer vision and deep learning. He has successfully developed and deployed various machine learning models for applications such as fraud detection and sound classification. His expertise extends to automating CI/CD pipelines and managing production-grade Kubernetes clusters, ensuring efficient deployment and integration of software components. With a Master's degree in Artificial Intelligence, he is well-equipped to tackle complex challenges in the field.

Core expertise

Python
language
10/10
TensorFlow
ai
9/10
Kubernetes
devops
8/10
GitHub Actions
tooling
8/10
Jenkins
tooling
8/10
AWS
cloud
8/10
Pandas
ai
8/10
NumPy
ai
8/10
scikit-learn
ai
8/10

Additional skills(28)

MatplotlibNumPyTensorFlowPythonscikit-learnKubernetesGithub ActionsAWSDockerJenkins

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 AssessmentMachine 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 TranslatorMachine 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 ClassificationMachine 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 SystemMachine 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.

5+ years of industry experience

  • Gesture Language TranslatorMachine Learning EngineerPython · TensorFlow · MediaPipe
  • Sound ClassificationMachine Learning EngineerPython · TensorFlow · scikit-learn
  • RansacMachine Learning EngineerPython · MeshLab · Artificial Intelligence · Computer Vision
  • Optical Character Recognition (OCR) Python ApplicationMachine Learning EngineerPython · OCR · NLP · NLTK +5
  • Reinforcement Learning for Atari (Space Invader)Machine Learning EngineerDeep Learning · gym · Keras-RL · Matplotlib +5
  • ProjectSoftware Engineer TraineePython · Jenkins · Linux · Shell Scripting
FinTech1 project
  • Credit Risk AssessmentMachine Learning EngineerPython · scikit-learn · Matplotlib · NumPy
Gaming2 projects
  • Gesture Language TranslatorMachine Learning EngineerPython · TensorFlow · MediaPipe
  • Fraud Detection SystemMachine Learning EngineerPython · Deep Learning

Ready to work with Darshit?

Onboard within 48 hours. No long hiring cycles, no recruiter middleman.

At a Glance

LocationIndia
Experience5+ years
Work moderemote
Direct hirePossible
Start within48 hours
From$1,940/ month

Single contract. Billed in USD.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman

Top Skills

Python
10/10
TensorFlow
9/10
Kubernetes
8/10
GitHub Actions
8/10
Jenkins
8/10
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