Data Engineering • AI • ML • Software Programmer • CS Researcher

Building Scalable AI Systems, RAG pipelines & Explainable Machine Learning.

Research Scholar pursuing M.Sc. Computer Science at Phillipps University Marburg, Germany. Passionate about Scalable Distributed Systems, Data Integration, Data Profiling, Retrieval Augmented Generation (RAG), Data Pre-processing and Analysis, AI/ML, Deep Learning, Neural Network, Network Security, Knowledge Graphs...

Profile Photo

ABOUT

Research & Interests

I have always been fascinated by how the human brain learns and adapts, but discovering that machines could emulate this remarkable capability through neural networks transformed my curiosity into passion. This curiosity has continuously drawn me toward data engineering, inspiring my interest in algorithms, efficient data processing intelligent systems.


I am deeply passionate about building intelligent systems that combine machine learning, scalable data processing, and real world problem solving. My research interests span Machine Learning, Retrieval Augmented Generation (RAG) Systems, Explainable AI, Knowledge Graphs, Data Integration, Distributed Systems, Neural Networks, and Network Security.


I have hands on experience working with technologies and frameworks across Mobility Testing (GERAN/UTRAN), AI, data engineering, and full stack development, including Python, Elasticsearch, Neo4j, Apache Spark, Akka, LangChain, React, and modern LLM pipelines. I am particularly interested in designing scalable systems that integrate machine intelligence with structured knowledge representation.


Beyond technical development, I am continuously driven by curiosity, research, and the desire to understand how intelligent systems can learn, adapt, and assist humans in meaningful ways. I enjoy exploring how large scale AI systems can efficiently retrieve, process, and reason over complex information while remaining scalable, interpretable, and reliable.


Last but not least, I am passionate about sharing knowledge with students and firmly believe that true transformation happens through this. I also enjoy travelling, hiking, cycling, playing sports, and cooking, alongside my usual technical pursuits. I also have been involved in various socila awareness drives and campaigns as part of my social responsibility and looked forward to involve into it much more.

EDUCATION

Academic Background

M.Sc. Computer Science

Philipps University Marburg, Germany

Apr. 2024 – Present CGPA: 11.4 / 15 (Ongoing)

Research focused on Data Engineering, Data Integration, Scalable Systems, Network Security, Artificial Intelligence, Machine Learning, and Neural Networks.

Master of Computer Applications (MCA)

Lovely Professional University, India

Aug. 2014 – Jun. 2016 CGPA: 9.52 / 10

Specialized in Software Programming, System Architecture & Design, Computer Optimization, Data Mining & Multi Core Architectures.

Bachelor of Computer Applications (BCA)

Pokhara University, Nepal

Aug. 2009 – Jan. 2014 CGPA: 3.98 / 4.0

Major focus on Algorithm Design & Analysis, Application Development, Networking, Linux System Administration, Database Systems, and Simulation Systems.

WORK

Work Experiences

Student Assistant - Multimodal Modelling & Learning / Big Data Analysis / Databases Group

Philipps University Marburg, Germany

Oct. 2025 – Present AI/ML • DATA ENGINEERING • RESEARCH

Contributing to research and academic activities within the Multimodal Modelling & Learning Group, Databases Group, and Big Data Analysis Group.

View Experience

Tutor - For International Student Support @FB12 Department

Philipps University Marburg, Germany

Jun. 2025 – Jul. 2025 PYTHON • GIT • AI FOR RESEARCH

Designed and conducted tutorial sessions for international students, providing practical guidance on Python programming, LaTeX for scientific writing, Git & GitHub for collaborative development, and AI tools for academic research workflows.

View Experience

Assistant Lecturer - Computer Science Department

Chitwan College of Technology, Nepal

Apr. 2018 – Oct. 2023 TEACHING • MENTORING • COMPUTER SCIENCE

Delivered undergraduate level computer science courses, guided students through practical and theoretical concepts, and contributed to academic mentoring and project supervision activities

View Experience

Assistant Software Developer

Crystal Light IT Pvt. Ltd., Bharatpur, Nepal

May 2018 – Apr. 2020 JAVA • SOFTWARE DEVELOPMENT • TECHNICAL SUPPORT

Contributed to the development, testing, and maintenance of Java based applications while supporting debugging, implementation, and end user assistance activities.

View Experience

Assistant Software Engineer

Tech Mahindra Limited, Noida, India

Jun. 2016 – Feb. 2018 MOBILITY TESTING • KEYSIGHT TECHNOLOGY • 3G/4G

Worked on telecom network validation and mobile device testing for US network operators - AT&T, Verizon, contributing to defect analysis, troubleshooting, and execution of test scenarios in simulated network environments.

View Experience

PROJECTS

Recent Projects

CuRAG - Knowledge Graph Curation System

Automated extraction and curation of scientific knowledge using Neo4j-based knowledge graphs.

Python • Full Stack • Neo4j • Knowledge Graphs

Semantic Search on Historical German Speech Corpus

Retrieval Augmented Generation pipeline using Elasticsearch and multilingual embeddings.

Python • Elasticsearch • RAG • LLMs

IND Discovery Using Akka

Designed a distributed data profiling system to compute Inclusion Dependencies (INDs) across large scale datasets using the Akka actor framework..

Akka • Java • Actor Model

Image Classification Using CNNs

Designed and trained Convolutional Neural Network (CNN) models for image classification and feature extraction tasks using deep learning techniques.

Python • PyTorch • CNN • Deep Learning

DBSCAN Implementation

Parallel DBSCAN on Spark is a distributed spatial data mining project focused on improving the scalability and efficiency of the DBSCAN clustering algorithm using Apache Spark.

Spark • KD-Tree • Distributed System

Multi-label Emotion Detection

Designed a deep learning based multi-label emotion classification system for detecting multiple emotional states from text snippets using neural network architectures and NLP workflows.

Python • PyTorch • NLP • Neural Networks

Used Automobile Price Prediction

Designed a price predictor model that estimates the price of automobile using real world vehicle listing datasets. The system predicted prices based on specifications, fuel information...

Python • Scikit-learn • Random Forest • Data Preprocessing

SKILLS

Technical Expertise

Languages

Python, Java, C, C#

Data Engineering

Spark, Akka, Sedona

AI & ML

LLMs, RAG, NLP, Deep Learning, XAI, PyTorch, Neural Network, Prompt Eng.

Databases

SQL, PostgreSQL, Neo4j, Redis, Mongodb

Visualization

Plotly, Matplotlib, Seaborn

Tools & Platforms

Git, GitHub, Docker, LaTeX, Linux

RESEARCH PAPERS

Publications & Reports

Scalable DBSCAN Implementation

Parallel DBSCAN on Spark is a distributed spatial data mining project focused on improving the scalability and efficiency of the DBSCAN clustering algorithm using Apache Spark.

Open PDF →

Master Thesis Expose

Proposed a scalable and memory efficient approach for incremental IND discovery in distributed systems using the Akka actor model which has rarely been explored.

Open PDF →

Historical Speech RAG System

RAG application designed to retrieve relevant historical speech transcripts and generate context aware responses using Large Language Models..

Open PDF →

Multi-label Emotion Detection

Focuses on detecting five core emotions - joy, sadness, fear, anger, and surprise, by treating each emotion as an independent binary classification task.

Open PDF →

HONOURS

Achievements & Awards

University Academic Honour

Lovely Professional University, India

May 2017

Received the University Academic Honour award for standing First in order of merit in Master of Computer Applications Program in the class of 2016.

Dean's List Award

Pokhara University, Nepal

Apr. 2014

Received the Dean’s List Award in recognition of an outstanding meritorious achievement in Bachelor of Computer Application.

CONTACT

Let's Build Something Meaningful

Research Interests

AI/ML NLP RAG Systems Distributed Systems Database Data Engineering Software Engineering Deep Learning LLMs Network Security

Open to collaborations, research projects, and AI engineering opportunities.

GITHUB

Contributions

Last 1 Year


GitHub Contributions
Less
More

This Month