Looking for a job

Diksha Wagh

@dikshawagh

Message

AI & Data Science Engineer focused on ML, Generative AI, and scalable RAG/LLM systems.

India

Message

What I'm looking for

I’m looking for a role where I can build scalable, reliable, and interpretable AI systems—especially RAG, LLM evaluation, and deployment—using cloud infrastructure, with measurable impact and strong responsible AI principles.

I’m an AI & Data Science Engineer specializing in Machine Learning, Generative AI, Computer Vision, and Large Language Models (LLMs). I build scalable AI systems that prioritize model evaluation, deployment quality, and system optimization—especially for RAG pipelines and real-time ML applications.

In my internships, I developed an LLM-powered chatbot using RAG, supporting 10,000+ user interactions, improving response accuracy by 35% through prompt engineering and retrieval optimization, and reducing system latency by 30% via backend optimization and API restructuring. I also built ML models for satellite-based crop classification, improved accuracy by 18%, and created production-minded tooling such as an LLM evaluation framework (including a Sycophancy Benchmark) with custom metrics that improved reliability insights by 25%.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

MITCON Consultancy & Engineering Services Ltd

Jan 2026 - Present (3 months)

Built ML models for satellite-based crop classification and improved model accuracy by 18% through feature engineering and hyperparameter tuning. Developed automated preprocessing pipelines to significantly reduce data preparation time.

Machine Learning Deep Learning Hyperparameter Tuning Remote Sensing

AI & Software Dev Intern

Presecure Solutions

Jan 2025 - Present (1 year 3 months)

Developed an LLM-powered RAG chatbot handling 10,000+ user interactions, improving response accuracy by 35% through prompt engineering and retrieval optimization. Reduced system latency by 30% via backend optimization and API restructuring using FastAPI and cloud infrastructure.

LLM RAG Prompt Engineering Vector Databases fastAPI REST APIs Backend AWS