Open to opportunities

Mahak Agrawal

@mahakagrawal

Message

AI engineer specializing in LLM fine-tuning and generative AI solutions.

India

Message

What I'm looking for

I seek a role building and deploying generative AI/LLM systems end-to-end, with collaborative teams, production impact, and opportunities to improve model performance and deploy multimodal assistants.

I am an AI engineer with 1.5 years of hands-on experience building end-to-end ML pipelines, fine-tuning LLMs, and deploying generative AI assistants that improved model performance by 30–40% across code, API, frontend, data, and math domains.

I have designed prompts and evaluation datasets, annotated large-scale training data for supervised fine-tuning and RLHF workflows, and delivered multimodal RAG assistants integrating vision, speech, and LLMs. I collaborate across stages of model development to produce production-ready, data-driven solutions.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Ethara AI

Feb 2024 - Present (2 years 4 months)

Designed prompts and evaluation datasets across code, API, frontend, data, and math to fine-tune LLMs, driving 30–40% improvement in model performance and building multi-stage pipelines (SFT → RLHF → deployment).

Fine Tuned LLMs Prompt Engineering Python TensorFlow RAG Model Evaluation

ML Intern

Robotronix

Jun 2023 - Aug 2023 (2 months)

Developed CNN and RNN models in TensorFlow (handwritten digit recognition at 95% accuracy) and built end-to-end ML pipelines for data labeling, preprocessing, training, and evaluation, improving workflow efficiency by 30%.

TensorFlow CNN RNN data preprocessing Python NumPy Pandas Model Evaluation

ML Intern

Robotronix

Jun 2022 - Jul 2022 (1 month)

Applied Python, Pandas, NumPy and scikit-learn to build and evaluate regression and classification models (linear/logistic regression, KNN), achieving up to 92% accuracy on tasks.

Python Pandas NumPy scikit learn Logistic Regression K NN Model Evaluation Data Visualization