For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
S
Smitkumar K.

Smitkumar K.

Tech Lead - Software Engineering, Tyler Technologies (AI-assisted development and automation workflows integration)

Canada flagToronto, Canada

Key Skills

Software

Label StudioLabel Studio
ArgillaArgilla
Data Annotation TechData Annotation Tech
MercorMercor
Micro1
MindriftMindrift
Scale AIScale AI
LabelboxLabelbox
Surge AISurge AI
OneFormaOneForma
AppenAppen
TelusTelus
AWS SageMakerAWS SageMaker
Google Cloud Vertex AIGoogle Cloud Vertex AI
Snorkel AISnorkel AI
Other
Don't disclose

Top Subject Matter

Generative AI workflow automation
SDLC integration
AI-assisted development

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
RLHFRLHF
Fine-tuningFine-tuning
Red TeamingRed Teaming
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Function CallingFunction Calling
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Tech Lead - Software Engineering, Tyler Technologies (AI-assisted development and automation workflows integration). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Claude Code, GitHub Copilot, and Codex. Education includes Computer Science: Computer Programming, Seneca College of Applied Arts and Technology (2022) and Bachelor of Science, Charusat University (2018). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Function Calling, Evaluation, and Rating.

Labeling Experience

Team Lead - Software Engineering, Tyler Technologies (AI automation workflows with APIs and generative AI tools in SDLC)

Don't discloseFunction CallingFunction Calling

Led the integration of generative AI concepts into the software development lifecycle to accelerate AI-assisted delivery workflows. Built AI automation workflows by connecting REST APIs with .NET Core, focusing on reliable AI workflow execution rather than manual processes. Applied prompt/code generation tool usage patterns (e.g., Claude Code, GitHub Copilot, and Codex) to support development activities using function-calling style integration and automation. • Developed AI automation workflows using REST APIs and .NET Core to reduce manual effort by 35%. • Integrated generative AI tools into the SDLC, improving coding productivity by 25% and reducing review time by 30%. • Designed and implemented CI/CD pipelines with GitHub Actions for faster, more reliable cloud service releases. • Reviewed code and guided a team of 5 to maintain architectural integrity and software quality.

2022 - Present

Software Engineer, Seneca College (ML/statistical analysis with data preprocessing and feature engineering)

OtherTextText

Built machine learning solutions in Python using Pandas and NumPy to support statistical analysis and quantitative decision-making. Performed data preprocessing and feature engineering to improve model input quality and downstream performance. Created proof-of-concept components to validate feasibility and benchmark performance for architecture decisions, supporting iterative model evaluation. • Conducted data preprocessing and feature engineering to improve model input quality. • Designed PoC components to validate feasibility, benchmark performance, and inform architecture decisions. • Led research discussions on project updates, technical challenges, and iterative improvements. • Documented findings and presented technical insights to stakeholders.

2021 - 2022

Software Developer, TatvaSoft

Other

Delivered scalable software solutions in .NET and MSSQL while supporting development/testing workflows aligned with client requirements. While not explicitly described as data labeling, the work included code modifications and mentoring that could support AI-ready application development practices. Participated in training and enablement activities for customers and technical staff, strengthening team capability for adopting advanced tooling and software features. • Wrote maintainable .NET and MSSQL code, reducing defects by 25%. • Defined CI/CD and branching/merging strategies to reduce release issues and improve delivery speed. • Mentored junior developers through code reviews and hands-on guidance. • Delivered training for customers and technical staff to improve product adoption.

2018 - 2020

Education

S

Seneca College Of Applied Arts And Technology

Computer Science: Computer Programming, Computer Science

Computer Science: Computer Programming
2021 - 2022
C

Charusat University

Bachelor of Science, Computer Engineering

Bachelor of Science
2014 - 2018

Work History

T

Tyler Technologies

Tech Lead, Software Engineering

Toronto
2022 - Present
S

Seneca College

Software Engineer

Toronto
2021 - 2022