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Manish K.

AI/ML Engineer Intern — Capsitech IT Services Pvt. Ltd.

Jodhpur, India

Key Skills

Software

Clickworker

CVAT

iMerit

Mercor

OneForma

Roboflow

Top Subject Matter

Production ML pipeline reliability

experiment tracking

and monitoring

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Bounding Box

Classification

Object Detection

Text Generation

Question Answering

Fine-tuning

Computer Programming/Coding

Text Summarization

Freelancer Overview

AI/ML Engineer Intern — Capsitech IT Services Pvt. Ltd.. Brings 6+ months of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include MLflow and Evidently AI. Education includes Bachelor of Technology, Haldia Institute of Technology (2022) and Higher Secondary (Class XII), R.B.P. Inter College (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

AI/ML Engineer Intern — Capsitech IT Services Pvt. Ltd.

As an AI/ML Engineer Intern, Manish built end-to-end machine learning workflows that included data ingestion, preprocessing, training, and evaluation for production reliability. He integrated validation, logging, and monitoring steps to detect issues and improve system performance during the ML lifecycle. He also used experiment tracking to support reproducible runs and model versioning. • Developed preprocessing logic and evaluation pipelines to reduce data latency by 20%. • Implemented validation, logging, and monitoring to improve production reliability. • Collaborated with engineers to debug failures and enhance system performance. • Integrated MLflow for experiment tracking, model versioning, and reproducibility.

2025 - 2026

MLflow Experiment Tracking — End-to-End ML Pipeline (Project)

In the MLflow Experiment Tracking project, Manish built a configuration-driven end-to-end ML pipeline and focused on reproducible experiment management. He logged experiments, metrics, and model versions using MLflow, while also adding structured logging and validation for stability. The project enabled flexible experimentation using Hydra and data/version controls via DVC. • Created an end-to-end configuration-driven pipeline for breast cancer prediction. • Enabled reproducible experimentation using Hydra. • Logged experiments, metrics, and model versions with MLflow. • Added structured logging and validation to ensure system stability.

2025

Data Anchor — ML Data Validation & Drift Monitoring (Project)

For the Data Anchor project, Manish developed a validation and drift detection system to maintain quality and reliability of production ML workflows. He automated schema, quality, and distribution checks to prevent silent failures and continuously monitor model and system health. The work also included building dashboards for ongoing oversight. • Automated schema, quality, and distribution validation checks. • Implemented drift detection to flag degradation in data and model behavior. • Increased model reliability by 15% via continuous quality monitoring. • Built dashboards tracking 10+ system and model health metrics.

2025

Education

R.B.P. Inter College

Higher Secondary (Class XII), Information Technology

Higher Secondary (Class XII)

2018 - 2020

Sarvajanik High School

Secondary (Class X), Secondary Education

Secondary (Class X)

2017 - 2018

Work History

Capsitech IT Services Pvt. Ltd.

AI/ML Engineer Intern

Jodhpur

2025 - 2026