Sajal T.

Key Skills

Software

Other

Axiom AI

Google Cloud Vertex AI

Label Studio

OpenCV AI Kit (OAK)

Sloth

Top Subject Matter

Biometric spoof detection and secure authentication

LLM pipelines

RAG systems

Top Data Types

Image

Text

Document

Top Task Types

Diagnosis

Fine-tuning

Entity (NER) Classification

Red Teaming

Function Calling

Computer Programming/Coding

Freelancer Overview

ML Intern, UIDAI (Unique Identification Authority of India). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, SRM Institute of Science and Technology (2026) and Higher Secondary School Certificate, New Horizon Scholars School (2022). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Diagnosis and Fine-tuning.

Labeling Experience

Data Engineer Intern, Capgemini

OtherFine-tuning

Designed LLM-driven pipelines to automate data ingestion, cleansing, and transformation across APIs and streams. Developed RAG-based chatbot agents to improve document retrieval and reduce response time. Engineered cybersecurity LLM agents that map CVE to CWE and MITRE ATT&CK for risk insights. • Automated ingestion/cleansing/transformation • Built RAG chatbot retrieval improvements • Created CVE→CWE→MITRE mapping workflows • Produced actionable cybersecurity risk outputs

2025 - 2025

ML Intern, UIDAI (Unique Identification Authority of India)

OtherDiagnosis

Built a machine learning pipeline for biometric spoof detection using large-scale biometric datasets. Trained CNN models on 2M+ samples to support secure authentication systems. Worked on deployment planning aligned with security and compliance standards. • Developed spoof-detection ML workflow • Trained CNNs on large biometric data • Supported secure authentication modeling • Assisted with deployment planning

2024 - 2024

Education

Work History