Kavyansh G.

Key Skills

Software

Other

Top Subject Matter

Quantitative finance

LLM fine-tuning

retrieval-augmented generation

Top Data Types

Text

Top Task Types

Fine-tuning

Freelancer Overview

AI/ML Research Intern @ Quant Singularity (June 2026 - Present). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include PyTorch and Other. Education includes Bachelor of Technology, Madhav Institute of Technology and Science (2027). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning, Computer Programming, and Coding.

Labeling Experience

AI/ML Research Intern @ Quant Singularity (June 2026 - Present)

TextFine-tuning

Worked on domain-adapted model fine-tuning using QLoRA to preserve quantitative reasoning fidelity for alpha generation. Built RAG pipelines and agentic research workflows to ground LLM outputs in structured live market data. Engineered ML features and data pipelines for market microstructure and regime detection signals to support training and inference workflows. • Domain-adapted SLM fine-tuning with QLoRA. • RAG pipelines for grounding LLM outputs in live market data. • Feature/data pipeline engineering for microstructure and regime detection. • Agentic research workflow development for alpha-focused outputs.

2026 - Present

Machine Learning Research Intern @ MANIT Bhopal (June 2025 - June 2025)

OtherText

Conducted machine learning research for drone logistics, applying supervised learning to model drone behavior. Optimized flight patterns and routing algorithms using ML to reduce predicted energy usage. The work supported eco-efficient delivery operations by improving predictive and routing decisions. • Supervised learning for drone behavior modeling. • ML-based optimization of flight patterns and routing. • Energy usage reduction via predictive optimization. • Research-oriented modeling for eco-efficient delivery.

2025 - 2025

Education

Work History