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Abinash Y.

Abinash Y.

IOE Exam Prep Platform — AI Personalized Learning (9-agent AI pipeline)

Nepal flagKathmandu, Nepal

Key Skills

Software

Other

Top Subject Matter

Intelligent education technology (exam prep tutoring)
AI workflow automation for customer support operations
Voice-based AI tutoring / teaching assistant

Top Data Types

TextText
AudioAudio
VideoVideo

Top Task Types

Question AnsweringQuestion Answering
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Function CallingFunction Calling

Freelancer Overview

IOE Exam Prep Platform — AI Personalized Learning (9-agent AI pipeline). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science in Computer Engineering, Institute of Engineering, Thapathali (2028). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Question Answering, Prompt + Response Writing (SFT), and Function Calling.

Labeling Experience

Voice-Based Learning Companion — real-time teaching SaaS (Vapi/Supabase/Stripe/Next.js)

OtherAudioAudioFunction CallingFunction Calling

Developed a real-time voice-based teaching SaaS with live voice interaction, subscription management, and session handling. Implemented voice interaction integration and orchestrated backend workflows to support teaching sessions in production. This required structuring AI interaction calls to reliably manage conversational/voice-based teaching flows. • Integrated real-time voice interaction for live teaching sessions • Built session management and user subscription workflows • Engineered production deployment for a tutoring SaaS • Orchestrated AI interaction calls for reliable session behavior

2024 - 2024

IOE Exam Prep Platform — AI Personalized Learning (9-agent AI pipeline)

OtherTextTextQuestion AnsweringQuestion Answering

Built and refined an automated AI tutoring workflow for an IOE exam preparation platform using a multi-agent pipeline. Used Bayesian Knowledge Tracing to estimate learner mastery, SM-2 spaced repetition to schedule practice, and a priority scoring formula to personalize study paths. The system required generating and validating question-and-answer style learning content aligned to ingested syllabi. • Automated syllabus ingestion into an agentic study pipeline • Mastery modeling with Bayesian Knowledge Tracing • Spaced repetition scheduling with SM-2 • Personalized study path scoring using priority formulas

2024 - 2024

AI workflow automation system for a custom art business

OtherPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Designed AI-assisted workflow automation that handles customer queries and coordinates downstream actions for a custom art business. The work involved structuring agent logic for query intake, order intake, artist assignment, and escalation decisions. These components emulate training-style prompt/response orchestration for reliable task execution. • Implemented end-to-end agent workflow logic for customer queries • Automated order intake and artist assignment steps • Added escalation handling for exception cases • Designed structured decision flow for consistent outputs

2023 - 2023

Education

I

Institute of Engineering, Thapathali

Bachelor of Computer Engineering, Computer Engineering

Bachelor of Computer Engineering
2024 - 2028

Work History

I

Independent AI Projects & Research

Independent Full-Stack Developer and AI Projects Researcher

Kathmandu
2023 - Present
E

Ecast Academy

Full-Stack Developer

Kathmandu
2024 - 2024