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Jaskaranjeet Singh

@jaskaranjeetsingh

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AI researcher focused on computer vision, multimodal systems, and explainable LLM-driven automation.

India

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What I'm looking for

I seek roles building and deploying multimodal AI and explainable LLM systems, with opportunities for research impact, productionization, and collaboration in trustworthy AI.

I am an AI researcher specializing in computer vision, multimodal systems, and explainable large language model integrations, with hands-on experience building detection, translation, and forensic pipelines. I have developed sensor-fusion and diffusion-model solutions that improved mAP and robustness in low-contrast and low-light environments, and I built multilingual, auditable deepfake detection systems combining spectral/audio forensics with LLM-generated explanations.

My internships and research contributions span production-scale agentic pipelines, RAG-based fact-checking, and low-resource language modeling, delivering measurable performance gains (e.g., +12% mAP, 15–20% F1 improvements). I seek roles where I can advance intelligent automation, deploy robust multimodal models, and contribute to trustworthy AI in real-world settings.

Experience

Work history, roles, and key accomplishments

Current

AI Research Intern

Current

Kryoniq

Dec 2025 - Present (6 months)

Developed a deepfake audio detection system using MFCC, CQT and mel-spectrogram for noise forensics and integrated an LLM-based explainability layer to produce structured forensic reports for voice authentication and counter-intelligence applications.

Mel Spectrograms Audio Forensics Python PyTorch Signal Processing

Current

AI Intern

Current

GTC Network

Dec 2025 - Present (6 months)

Designed agentic pipelines processing 5,000+ multilingual news items/day with multi-source cross-validation and confidence-aware routing, and built RAG-based fact-checking agents producing auditable reasoning traces to mitigate misinformation.

RAG Fact Checking Confidence Calibration Python Data Engineering

AI Intern

Acme Grade

Jun 2024 - Aug 2024 (2 months)

Built deep learning pipelines with PyTorch and TensorFlow for NLP tasks and improved transformer classifier performance, achieving a 15–20% F1-score gain over baselines while tracking experiments with MLflow.

PyTorch TensorFlow Transformers NLP MLFlow Model Evaluation Python

Education

Degrees, certifications, and relevant coursework

Amity University, Noida

Bachelor of Technology, Artificial Intelligence

2023 -

Grade: 8.66/10

B.Tech in Artificial Intelligence program with coursework in computer vision, deep neural networks, large language models, linear algebra, networking, data structures and algorithms, operating systems, cloud computing, and IoT-robotics; current CGPA 8.66/10.