Warsaw, Poland Β· Credible AI / RAG / Research Software
Hi, I'm Pranjul Mishra.
Research Software Engineer | AI & High-Dimensional Data Systems. I build production-grade architectures for complex AI research. Specialized in bridging the gap between theoretical ML models and scalable, reproducible software systemsβspecialized in RAG, Knowledge Graphs, and Computational Genomics.
Research & Open Source Projects
Credible AI, BioXAI, reproducible ML, and clinical RAG utilities.
Clinical knowledge graphs
INFERMed
Drug interaction checker using RAG architecture. Combines PubChem RDF (SPARQL), clinical datasets (TwoSides, DILIrank, DrugBank), and OpenFDA data. Local LLM synthesis via Ollama with modes for Doctor (mechanistic), Patient (simplified), and Pharma (regulatory).
Long-read SVs
SvPhaser
Haplotype-aware structural-variant genotyper optimized for high-throughput long-read genomic data. Features per-chromosome parallel processing and CLI/Python API for scalable bioinformatics workflows. Designed for production pipelines processing 30x+ coverage whole-genome sequencing with VCF output.
HiChIP allele-specific phasing
LOPHOS
HiChIP allele-specific CTCF peak/loop phasing tool. Outputs BED/BEDPE with bias calls (BH-FDR), includes CLI, tests, CI, and docs for reproducible analysis.
Academic Projects
Selected builds and experiments.
Computational Genomics Β· 2024
Structural Variant Detection Algorithm
Python algorithm for detecting structural variants in genomic alignment files (BAM format). Implements parallel processing for efficient analysis of large-scale datasets. Detects deletions, inversions, duplications, and translocations by analyzing paired-read patterns. Outputs results in standard VCF format.
Machine Learning Research Β· 2023
Advanced Breast Cancer Analysis
Comprehensive analysis of METABRIC breast cancer dataset using ensemble methods. Implemented XGBoost for survival prediction, PCA for dimensionality reduction, and isolation forests for anomaly detection. Achieved improved classification accuracy through feature engineering and hyperparameter tuning.
Neural Networks Β· 2022
Adaptive Resonance Theory + Backprop
From-scratch implementation of Adaptive Resonance Theory (ART1) neural network combined with backpropagation. Conducted comparative study of vigilance parameter effects on clustering performance across MNIST and IRIS datasets. Demonstrated plasticity-stability balance in unsupervised learning.
Experience
Research Software Developer
- Productized BioXAI research into Python libraries with tests, typing, docs; CI (GitHub Actions).
- Introduced MLflow & DVC for tracking and lineage; deterministic Conda envs.
- Integrated hybrid BioXAI models with deterministic data pipelines.
Research Intern
- Built automated trading strategy (Python + Pine Script); modular indicators/backtests.
Research Intern
- Contributed to financial risk analysis pipeline (scraping β NLP β ML) for national banks.
DevOps Intern
- Git workflows, branching strategies, and code review processes.
Publications & Talks
2025
AI for Computational Biology: Highlights from the first BioAI Hackathon at University of Warsaw
The BioAI Hackathon convened 43 international researchers to collaboratively explore AI approaches for solving complex challenges in computational biology, addressing disease-gene prioritization, microbiome analysis, drug-protein interactions, and more.
Harnessing Machine Intelligence and Big Data for Diabetes Management
Overview of machine learning methods for intelligent diagnosis support systems in diabetes screening, exploring AI integration with electronic health records and mobile data aggregation.
2024
Breast Cancer Survival Analysis (ML Multimodal Comparative Study)
Predicting breast cancer patient survival using ML classification techniques on the Metabric RNA mutation dataset, comparing Random Forest, SVM, Logistic Regression, and KNN algorithms.
2021
Implementation of Local Computer Networking Laboratory During Erasmus+ Mobility
Erasmus+ mobility experience describing practical aspects of implementing Local Computer Networking labs during the COVID-19 pandemic in Romania.
Education
Master of Science (M.Sc.)
Computer Science and Information Systems
Specialization: Artificial Intelligence
π Academic Details
INFERMed: Intelligent Navigator for Evidence-based Retrieval in Medicine
Defense Pending- Agents and Agentic Applications & Development
- Neural Networks
- High Performance Computing
- Knowledge Graphs
- Knowledge Representation and Reasoning
- Image Processing
- Non-Linear Mathematics
- Calculus
- Data Compression
Bachelor of Technology (B.Tech.)
Computer Engineering
Specialization: Artificial Intelligence
π Academic Details
- Data Structures
- Algorithms
- Artificial Intelligence
- Machine Learning
- Database Systems
- Software Engineering
- Champion, Vodafone-Idea National Level Hackathon
- Best Conference Presentation Award, International Hackathon for Biomedical Applications, Anna University Chennai
- Erasmus+ Scholarship Recipient, University of PiteΘti, Romania
Certifications & Additional Education
Erasmus+ Exchange Program
University of PiteΘti
π Romania
2021
Microsoft AI-900
Microsoft
Certified
ML/DS/Python & Design Innovation
Coursera
10+ Certificates
Oracle SQL Programming
Oracle
Skills
Core AI & Research
Technologies for AI/ML research and implementation
Engineering & Reproducibility
Production-grade software engineering practices
Data & Backend
Data infrastructure and backend systems
Specialized Domains
Domain-specific research expertise
Languages
Professional Skills
Awards & Recognitions
Vodafone-Idea National Level Hackathon
Champion
Vodafone-Idea
Won first place in national-level innovation marathon
Best Conference Presentation Award
Best Presentation
International Hackathon for Biomedical Applications, Anna University Chennai
Recognized for outstanding research presentation on AI in Bioinformatics & Precision Medicine
NAWA Scholarship
Scholar
Polish National Agency for Academic Exchange (NAWA)
Prestigious scholarship for M.Sc. studies in Poland
Erasmus+ Scholarship
Exchange Program
European Union
Selected for semester exchange program at University of PiteΘti, Romania
PPRAI Conference 2024
Volunteer
Warsaw University of Technology
Contributed to organizing prestigious AI conference
Public Engagement
Bridging the gap between theoretical research and production-grade implementation. Through AI Pathfinders, I deconstruct complex machine learning architecturesβfrom first-principles mathematical optimization to memory-efficient data structuresβto foster a community of rigorous, reproducible AI engineering.
AI Pathfinders
@AnjanaNandan0125
Exploring AI, Machine Learning, and Deep Learning - Education for All
π₯ Featured Video
Introduction | Artificial Intelligence | Education for All | New Course
Welcome to AI Pathfinders! Journey through Machine Learning, Deep Learning, and AI. Demystifying complex concepts with theory and hands-on coding.
π Recent Videos
AI vs ML vs Deep Learning - Understanding the Differences
Exploring the distinctions between AI, Machine Learning, and Deep Learning. Understanding how these technologies relate and build upon each other.
Watch β
Machine Learning Fundamentals - Complete Introduction
Comprehensive introduction to Machine Learning: definitions, types of algorithms, supervised/unsupervised learning, and key concepts.
Watch βContact
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Location
Warsaw, Poland
Central European Time (CET/CEST)