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Lucky Samant

@luckysamant

AI/ML engineer and CS graduate (VIT Bhopal) building LLM agents, RAG pipelines and quantum-enhanced reinforcement learning models.

India

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What I'm looking for

I'm seeking an entry-level Machine Learning or AI Engineer role building production ML and LLM systems, including agentic workflows and RAG pipelines. I value strong engineering practices, mentorship and end-to-end ownership, and I'm open to remote roles with global teams.

I'm a Computer Science graduate from VIT Bhopal University (Bachelor of Technology in Cyber Security and Digital Forensics, 2026), focused on machine learning and LLM systems.

As a Research Assistant at VIT Bhopal, I benchmarked classical reinforcement learning algorithms against quantum-enhanced variants using IBM Qiskit and Qiskit Runtime, applying hybrid optimization techniques and documenting the full experimentation pipeline for reproducibility.

I build LLM applications with LangChain, LangGraph, RAG and MCP. My YouTube MCP Agent turns video transcripts into structured blogs and summaries, cutting manual repurposing time by an estimated 60–70% per video. I also built an NLP log classification system that combines three techniques to handle structured, semi-structured and noisy logs for real-time monitoring.

Most recently, as a QA Researcher Intern at HorizonX Playr, I performed backend testing and bug validation on game builds and analyzed game mechanics to support product refinement.

Experience

Work history, roles, and key accomplishments

QA Researcher (Intern)

HorizonX Playr

Apr 2026 - May 2026 (1 month)

Contributed to game research activities, analyzing mechanics, design decisions, and balance changes. Performed backend testing and bug validation on game builds, identifying functional issues and inconsistencies.

Game Research QA Testing Backend Testing Bug Fix Validation Analytical Evaluation

Research Assistant – Quantum-Enhanced Reinforcement Learning

VIT Bhopal University

Nov 2025 - Mar 2026 (4 months)

Conducted comparative research between classical RL algorithms and quantum-enhanced variants using IBM Qiskit and Qiskit Runtime. Documented methodology and results end-to-end, demonstrating independent ownership of the experimentation pipeline.

Reinforcement Learning Quantum Computing IBM Qiskit Qiskit Hybrid Optimization Research Documentation

Education

Degrees, certifications, and relevant coursework

VIT Bhopal University

B.Tech, Computer Science (Cyber Security and Digital Forensics)

2022 - 2026

Grade: 7.69 CGPA

Activities and societies: Research Assistant, Quantum-Enhanced Reinforcement Learning (Nov 2025 – Mar 2026)

Completed a B.Tech in Computer Science with a specialization in Cyber Security and Digital Forensics (CGPA: 7.69). Coursework and research spanned machine learning, reinforcement learning and quantum computing, including a research assistantship on quantum-enhanced reinforcement learning.