About me
I am an MPhil Bioinformatics student with expertise in computational biology and data science. I have completed formal training in Data Science, developing strong skills in data analysis, machine learning, and research-driven problem solving I am passionate about transforming complex biological data into actionable insights and contributing to innovative, data-driven research at the intersection of bioinformatics, data science, and healthcare.
Try My ML Model (Live Demo)
🧠 Cardiovascular Disease Risk Predictor
Adjust clinical parameters below to compute real-time ML risk prediction score using client-side logistic decision trees.
GitHub Activity
What i'm doing
-
Data Analytics
One of my favorite part of the project is Data Analysis. I Analyze the Data and solve complex problems with it.
-
Machine Learning
I train AI models with best accuracy, remove robustness and overfitting from the trained model.
-
Computer Vision
I give vision power to AI Technologies.
-
Generative AI
I made LLMs fine tuned, and build fuctional AI Apps for special purposes and Bussiness needs.
-
AI Agents Development
I build AI Agents for saving the time taken by humans on repitive and logical tasks.
-
AI Automation
I Automate tasks with AI that are repititive and time consuming.
-
MLOPs
I deploy your AI model on AWS cloud services.
-
Consultency
Provide Consultency to my clients about solving their business problems through data provided by them.
-
Wet Lab DNA Extraction Portfolio (5-Part Series)
Published ProtocolsComplete, hands-on molecular biology laboratory protocols from sample collection to PCR amplification, agarose gel electrophoresis, and Qubit/Nanodrop quality analysis:
-
View Sequencing Protocol →
Scientific Handoff Bridge: DNA Sequencing Workflow
Connecting purified Wet Lab DNA samples to Sanger, NGS Illumina & Nanopore FASTQ data generation.
-
Bioinformatics Pipeline
Building end-to-end computational biology pipelines covering raw genomic sequence preprocessing, alignment, variant calling, structural analysis, and biological data visualization.
Testimonials





