Kallu S.

Key Skills

Software

OpenCV AI Kit (OAK)

Micro1

Top Subject Matter

Healthcare diagnostics (ECG-based disease prediction)

Circuit Design

Project management

Top Data Types

Image

Text

Top Task Types

Diagnosis

Prompt + Response Writing (SFT)

Freelancer Overview

PCB Designer (Freelance) at micro1 (AI training data pipeline evaluation and prompt creation). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1 and OpenCV. Education includes Bachelor of Technology, Rajiv Gandhi Institute of Technology (2022) and 12th Grade (Science), Mother India Public School (2017). AI-training focus includes data types such as Text and Image and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

PCB Designer (Freelance) at micro1 (AI training data pipeline evaluation and prompt creation)

Micro1TextPrompt + Response Writing (SFT)

Freelance PCB Designer on micro1 contributed to AI training data pipeline technical evaluation by creating structured technical tasks, prompts, and prompts-based workflows. Work included preparing prompts for circuit design and simulation exercises and reviewing others’ submissions against rubric-based criteria. Feedback and documentation checks focused on correctness of circuit logic, simulation results, and response quality. • Authored structured prompts for op-amp oscillators, buck converters, and active filter comparison exercises. • Executed assigned circuit design/simulation tasks independently and aligned outputs to project specifications. • Reviewed contributor submissions using rubric criteria, assessing correctness, simulation outputs, and documentation quality. • Provided structured feedback to improve technical accuracy and prompt/task quality within evaluation workflows.

2026 - 2026

Embedded Engineer at Revertech IT Solutions Pvt Ltd (computer vision/ML pipeline development for embedded training & validation)

Image

Embedded Engineer at Revertech IT Solutions developed and tested computer vision and ML pipelines for embedded deployment, including disease prediction and object/image classification workflows. Although the resume does not explicitly state annotation tooling, the work implies labeling and dataset curation for training labelled datasets and validation for deployed ML models. Projects covered end-to-end pipeline building from data handling through testing and verification. • Built computer vision/ML pipelines including lane detection, skin cancer image classification, and ECG-based disease prediction workflows. • Prepared ML model training inputs using labelled datasets (e.g., ECG datasets mentioned explicitly) and validated model behavior. • Performed system-level testing and verification for IoT/embedded ML deployments and documented results. • Developed sensor-based embedded anomaly detection using ML for exhaust emission analysis.

2022 - 2025

Embedded Engineer – Healthcare ML pipeline development for disease prediction from ECG

OpenCV AI Kit (OAK)Diagnosis

Built ML pipelines for healthcare-related classification tasks using labeled ECG datasets, focusing on cardiac condition prediction from signal features. Documented preprocessing, feature extraction, and training steps necessary to support supervised learning with annotated medical time-series data. Collaborated on end-to-end deployment workflows for embedded execution of trained models for healthcare diagnostics applications. • ECG signal preprocessing and feature extraction for supervised diagnosis • Use of labeled ECG datasets to train classification models • Validation and testing support for model performance • Integration of ML outputs into embedded deployment workflows

2022 - 2025

Education

Work History