Open to opportunities

Anshul Dewangan

@anshuldewangan

Message

AI-focused computer engineer building explainable ML systems and medical AI solutions.

India

Message

What I'm looking for

I seek roles building explainable, production-ready ML/AI systems—particularly in healthcare or computer vision—where I can drive model robustness, deployment, and real-world impact.

I am a computer engineering student specializing in artificial intelligence and robotics, with hands-on experience building explainable ML systems for computer vision and healthcare.

I improved a face recognition pipeline by 12% using advanced data cleaning and XAI, and reduced dataset noise 25–30% via Isolation Forest, kNN and LOF, improving F1 by 8%.

I designed META-MEDICINE, a meta-learning framework combining LLMs and GNNs to predict drug–drug interactions with 95.7% accuracy, trained on 2.1M DDI pairs and validated across five healthcare centers, improving clinical decision speed and clinician confidence.

My projects include a P300-based BCI with 87.96% cross-validated accuracy and a neuro-responsive VR therapy prototype; I also built an AI-powered Enterprise Work Order Intelligence system using Streamlit, LangChain and FAISS.

Experience

Work history, roles, and key accomplishments

Software Engineering Trainee

BHEL

May 2025 - Jun 2025 (1 month)

Engineered an AI-powered Enterprise Work Order Intelligence system using Python, Streamlit and LangChain to automate analysis of 1,000+ workorders, enabling priority tagging, summaries and sub-3s context-aware query responses.

Python Streamlit Lang Chain Faiss NLP RAG Email Automation

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Bachelor of Technology, Computer Engineering (Artificial Intelligence and Robotics)

2022 -

Grade: CGPA 8.1

Activities and societies: Implemented explainable AI for dataset cleaning, face-recognition models, and meta-learning projects (META-MEDICINE); coursework includes Machine Learning for Robotics, Data Structures and Algorithms, and Software Engineering.

Pursuing Computer Engineering with specialization in Artificial Intelligence and Robotics, focused on explainable AI for dataset cleaning and face-recognition improvements; achieved CGPA 8.1 as of latest update.