Lathif S.

Key Skills

Software

Other

Mindrift

AWS SageMaker

Internal/Proprietary Tooling

Top Subject Matter

AI & Machine Learning

Natural Language Processing (NLP)

LLM Evaluation & AI Training Data

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Text Generation

Function Calling

Classification

Entity (NER) Classification

RLHF

Red Teaming

Transcription

Evaluation/Rating

Freelancer Overview

AI/ML specialist with 2+ years of hands-on experience in supervised and unsupervised learning, data annotation, data synthesis, and LLM pipeline development. Skilled in LangChain with a strong track record of delivering high-quality training data that drives real model improvements. Education includes Bachelor of Technology (Honours), Lovely Professional University. AI-training focus includes data types such as Text and labeling workflows including Text Generation and Function Calling.

Labeling Experience

Software Developer, Oribo.org — platform systems architecture (event workflows, APIs, deployment)

OtherTextFunction Calling

Architected and implemented core platform systems for a globally used social/event application. Focus included building backend services that supported event workflows and operational features for end users at scale. While not explicitly stated as labeling, the role involved AI platform-adjacent backend engineering required for automated workflow execution. • Authentication, user profiles, and social feeds • Event workflow backend system design • REST API development with scalable relational models • Deployment pipelines and observability for production infrastructure

2025 - Present

Software Developer, Workzen Inc — AI-powered hiring platform with LLM pipelines for resume parsing and evaluation

TextText Generation

Worked on an AI-powered hiring platform that automated resume parsing and candidate evaluation workflows. Built LLM pipelines to transform unstructured resume content into structured fields used for scoring and orchestration. The outputs were used downstream to support screening, scheduling, and candidate engagement steps in the hiring process. • Resume parsing and data extraction from applicant documents • Candidate evaluation and scoring using LLM pipelines • Workflow orchestration for hiring steps • Integration of ATS and candidate communication systems via APIs and webhooks

2025 - 2025

Education

Work History