Astha A.

Key Skills

Software

Data Annotation Tech

Deep Systems

Micro1

OpenCV AI Kit (OAK)

SuperAnnotate

Top Subject Matter

Generative AI / RAG chatbots (unstructured knowledge retrieval)

LLM deployment and inference optimization (generative AI)

Credit scoring / predictive analytics models

Top Data Types

Text

Video

Image

Top Task Types

Question Answering

Fine-tuning

Segmentation

Entity (NER) Classification

Bounding Box

Polygon

Classification

Object Detection

Text Generation

Text Summarization

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

AI Full Stack Intern at NeuraMach AI Studio Pvt. Ltd. (RAG-based chatbot development). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Hugging Face. Education includes Bachelor of Technology, G H Raisoni College of Engineering (2026) and Higher Secondary Certificate, Dinanath High School and Junior College (2021). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Question Answering, Fine-tuning, and Evaluation.

Labeling Experience

AI Full Stack Intern at NeuraMach AI Studio Pvt. Ltd. (RAG-based chatbot development)

TextQuestion Answering

Built RAG-based chatbot and generative AI applications with an emphasis on high retrieval accuracy. Integrated and used vector databases to support retrieval over unstructured knowledge for interactive responses. Tuned retrieval and system flow to improve response efficiency and scalability in production-like settings.• Implemented retrieval-augmented generation workflows for question answering.• Integrated vector databases for scalable information retrieval and faster queries.• Improved query response efficiency by ~35% through retrieval optimization.• Developed scalable architecture for AI chatbot applications.

2025 - Present

Data Science Intern at Celebal Technologies (automated credit scoring model development)

Other

Developed automated credit scoring models using LangChain and Groq API for predictive analytics workflows. Applied machine learning methods to support automation and reduce manual analysis. Focused on model performance improvement and evaluation to achieve high prediction accuracy.• Built credit scoring automation using LangChain orchestration and Groq-backed model inference.• Achieved ~92% prediction accuracy through model development and evaluation.• Improved analytics efficiency by reducing manual analysis time by ~40%.• Applied predictive analytics ML techniques to strengthen model performance.

2025 - 2025

Generative AI Intern at GenAIKit Software Solution Pvt. Ltd. (fault-tolerant LLM deployment)

Fine-tuning

Developed fault-tolerant LLM deployment systems to improve inference reliability for generative AI services. Optimized distributed AI workflow execution and model serving pipelines to reduce latency and increase throughput. Used Hugging Face tooling to operationalize large language model inference reliably.• Built and maintained LLM deployment pipelines with fault tolerance.• Used Hugging Face for model deployment and reliability improvements.• Optimized distributed model serving workflows and pipelines.• Reduced inference latency by ~25% and increased throughput efficiency.

2025 - 2025

Education

Work History