Open to opportunities

Drashti Bhatt

@drashtibhatt1

Message

Generative AI engineer delivering reliable NLP and computer vision solutions.

India

Message

What I'm looking for

I’m looking for roles where I can own GenAI/NLP or multimodal systems end-to-end—deploying, debugging, and scaling in production. I want customer-facing impact, clear collaboration, and fast learning on real problems.

I’m a motivated engineer with a strong foundation in Generative AI, deep learning, and NLP, and I build real-world, end-to-end solutions—owning them beyond demos. I’m known for clear communication and structured thinking, taking responsibility for deploying, debugging, and scaling outcomes.

In customer-facing technical execution, I translate complex requirements into executable AI-driven solutions by finalizing stacks, managing development and deployment, and handling post-deployment troubleshooting. I collaborate cross-functionally to turn customer feedback into actionable product and feature improvements, using AI-native problem solving to adapt quickly and deliver measurable impact.

I’ve also built and optimized transformer-based and multimodal systems, improving performance through architecture and deployment efficiency work. My projects span real-time computer vision feedback, agentic multi-agent clinical decision support with RAG, and production-oriented multimodal RAG with safety guardrails—focused on reliability, latency, and usability.

Experience

Work history, roles, and key accomplishments

Current

AI Solution Intern

Current

RiSELINX

Sep 2025 - Present (10 months)

Owned end-to-end delivery of client-facing AI projects, translating requirements into executable AI-driven solutions and supporting post-deployment troubleshooting. Collaborated with engineering, product, and marketing teams to convert client feedback into actionable improvements.

End To End AI Solutions System Configuration Post Go Live Troubleshooting Cross Functional Collaboration Stakeholder Communication Production Support

Analytics and AI Intern

L&T Technologies and Services

May 2025 - Jun 2025 (1 month)

Designed and implemented transformer-based NLP architectures (BERT/GPT) for tasks such as summarization and translation, and optimized models for faster inference. Built deep learning pipelines with TensorFlow, PyTorch, and Hugging Face to improve accuracy and reduce GPU memory usage.

Transformer Architecture BERT GPT NLP Summarization Translation TensorFlow PyTorch Hugging Face ROUGE Mixed Precision Training Tensorboard Transformers

Machine Learning Intern

WizDevelopers

Feb 2024 - Sep 2024 (7 months)

Developed scalable machine learning applications and improved data retrieval efficiency while reducing model training time in real-world deployments. Worked on end-to-end deployment pipelines with continuous monitoring and feedback loops using Agile practices.

Python AWS TensorFlow scikit learn Pandas Machine Learning Monitoring Agile