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Aniruddh Krishna

Aniruddh Krishna

AI/ML Engineer and Trainer, AI Club, IIT Madras

India flagChennai, India
$25.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

AI/ML Model Training
Nlp Domain Expertise
Language Translation

Top Data Types

TextText
ImageImage

Top Task Types

Fine Tuning

Freelancer Overview

AI Trainer and Project Lead, AI Club, IIT Madras. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, Indian Institute of Technology, Madras (2027). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

IntermediateEnglishHindiTamilMarathi

Labeling Experience

AI Club Head at IIT Madras

TextFine Tuning
Led and coordinated AI/ML training initiatives, instructing 2100+ participants online during summer school on NLP and RNNs. Oversaw a project on Language Translation using Transformers focused on translation/localization tasks. Conducted sessions on Reinforcement Learning theory and implementation for the club. Organized workshops and events to enhance AI/ML capability within the student community. • Taught applied NLP and RNN implementation to a large cohort • Supervised Transformer-based translation project with annotation tasks • Led club-wide discussions and seminars on AI/ML use cases • Planned hackathon training and provided support for AI project execution

Led and coordinated AI/ML training initiatives, instructing 2100+ participants online during summer school on NLP and RNNs. Oversaw a project on Language Translation using Transformers focused on translation/localization tasks. Conducted sessions on Reinforcement Learning theory and implementation for the club. Organized workshops and events to enhance AI/ML capability within the student community. • Taught applied NLP and RNN implementation to a large cohort • Supervised Transformer-based translation project with annotation tasks • Led club-wide discussions and seminars on AI/ML use cases • Planned hackathon training and provided support for AI project execution

2025 - Present

ML Engineer: KreynAI, CEET IITM Research Park

TextText Generation
• Developed a real-time multi-modal LLM pipeline handling text, image, audio, video and other input types. • Worked with and fine-tuned Gemini and OpenAI SDKs for seamless cross-modality prompt processing. • Enabled dynamic prompt-response generation simulating human-like interaction across all modalities. • Streamlined system performance for streaming and low-latency responses in production-like environments.

• Developed a real-time multi-modal LLM pipeline handling text, image, audio, video and other input types. • Worked with and fine-tuned Gemini and OpenAI SDKs for seamless cross-modality prompt processing. • Enabled dynamic prompt-response generation simulating human-like interaction across all modalities. • Streamlined system performance for streaming and low-latency responses in production-like environments.

2025 - 2025

Project Member, Project AI Rahman, AI Club, IIT Madras

AudioFine Tuning
• Contributed to a research initiative exploring Generative AI for fusion music via mechanistic interpretability. • Published our research findings on arXiv.org as open-access work. Link: https://arxiv.org/pdf/2506.10225 • Worked on controllable music generation by steering residual streams and tuning <0.005% model parameters.• Developed a compute and data-efficient pipeline (<1K samples) enabling genre, instrument, and pitch transfer. • Constructed effective steering vectors using difference-in-means, PCA components, and linear probe classifiers. • Showcased the project at the Open House 2025, engaging 500+ attendees and media representatives.

• Contributed to a research initiative exploring Generative AI for fusion music via mechanistic interpretability. • Published our research findings on arXiv.org as open-access work. Link: https://arxiv.org/pdf/2506.10225 • Worked on controllable music generation by steering residual streams and tuning <0.005% model parameters.• Developed a compute and data-efficient pipeline (<1K samples) enabling genre, instrument, and pitch transfer. • Constructed effective steering vectors using difference-in-means, PCA components, and linear probe classifiers. • Showcased the project at the Open House 2025, engaging 500+ attendees and media representatives.

2024 - 2025

Education

I

Indian Institute of Technology, Madras

Bachelor of Technology, Ocean Engineering and Naval Architecture

Bachelor of Technology
2023 - 2027
M

Matoshree Prabodhinee College

Higher Secondary Certificate, Science

Higher Secondary Certificate
2021 - 2023

Work History

K

Kreynai

ML Engineer

Chennai
2023 - 2024