Open to opportunities

HARSH VARDHAN

@harshvardhan13

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AI Engineer specializing in agentic Generative AI, computer vision, and scalable data-driven modeling.

India

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What I'm looking for

I’m looking for a role where I can build deployable Agentic AI and RAG systems, pair them with strong computer vision, and contribute to scalable, real-world ML—preferably with a team that values research, evaluation, and clean MLOps.

I’m an AI Engineer with hands-on experience in Generative AI (RAG), computer vision, and statistical modeling. I’ve been recognized for excellence in Agentic AI at the CODS-COMAD Conference, and I enjoy building computational workflows and multi-step reasoning systems that turn data into real outcomes.

As a freelancer with Scale.ai (MWF Team), I contribute to the development and evaluation of Large Language Models. I also work as a research intern at CiSTUP, IISc, Bangalore, where I build deep learning solutions for intelligent traffic surveillance—vehicle detection, tracking, and real-time incident detection using large-scale video datasets.

On the railway side, I’ve engineered a real-time anomaly detection system for Indian Railways using YOLO for railway safety monitoring, and I’m currently researching railway network analysis with Graph Neural Networks at IIT Kharagpur. My projects—like RAGvisor (document Q&A with LangChain and FAISS) and real-time railway anomaly detection optimized with TensorRT and DeepStream—reflect my focus on end-to-end pipelines, rigorous evaluation, and deployable AI.

Experience

Work history, roles, and key accomplishments

Current

Research Intern

Current

Indian Institute of Technology (IIT) Kharagpur

Jan 2026 - Present (7 months)

Working on railway network analysis using Graph Neural Networks (GNNs) and complex network science techniques. Applying graph learning methods, centrality measures, and community detection for structural and operational analysis and predictive modeling.

Centrality Analysis predictive modeling

Current

Research Intern

Current

CiSTUP, IISc Bangalore

Jan 2026 - Present (7 months)

Conducting research on computer vision for intelligent traffic surveillance. Developing deep learning-based solutions for vehicle detection, tracking, and traffic behavior analysis using large-scale video datasets.

Computer Vision Deep Learning

Current

Freelancer (MWF Team)

Current

Scale.ai

Jan 2023 - Present (3 years 7 months)

Contributed to the development and evaluation of Large Language Models as part of the MWF team.

Large Language Models LLM Development LLM Evaluation

AI/ML Intern

Indian Railways (Vadodara Division)

May 2025 - Jul 2025 (2 months)

Engineered a real-time anomaly detection system using YOLO for railway safety monitoring. Collected and processed real-world video datasets, then performed preprocessing, annotation, and model fine-tuning to improve detection accuracy.

YOLO Anomaly Detection Computer Vision data preprocessing Data Annotation Model Fine Tuning

Project Intern – Data Analytics

Kolkata Metro & NK3 Solutions

Jan 2025 - Present (1 year 7 months)

Conducted descriptive and statistical analysis on large-scale track defect datasets to identify failure patterns. Performed data cleaning, exploratory data analysis (EDA), and statistical data visualization to generate actionable insights.

Data Analytics Descriptive Statistics Statistical Analysis data preprocessing Data Visualization Statistical Methods