๐Ÿ‘‹ Hello, I'm

Adi Narayan Prasad

About Me

๐Ÿ‘จโ€๐Ÿ’ป

Aspiring Software Developer

I'm a passionate Information Science Engineering student at BMS College of Engineering with expertise in Python, Machine Learning, and Computer Networks. I focus on designing scalable systems and solving complex engineering problems in real-world applications.

Recently interned at Hewlett Packard Enterprise (HPE) and currently working as a research intern at Carnegie Mellon University (CMU) on high-performance sketching and approximate analytics frameworks.

B.E. Information Science
Bengaluru, Karnataka
CGPA: 8.8
Open to Opportunities

Technical Skills

Programming Languages

PythonSQL JavaScriptHTML/CSS Bash

ML & Data Science

Supervised LearningSklearn XGBoostPandas DistilGPTLlama LLM

Tools & Systems

GitDocker HashiCorp VaultMininet VS CodeLinux

Databases & Networking

MongoDBMySQL ScapyWireshark Computer Networks

Cloud & DevOps

Google CloudCarbon Tracking Blackhole RoutingETL Pipelines

Soft Skills

Problem SolvingSystem Design Team CollaborationDebugging Mindset

Work Experience

Project Intern
Hewlett Packard Enterprise (HPE)
Bengaluru
Feb 2026 โ€“ June 2026
  • Engineered the core data ingestion pipeline for an HPE threat detection system, managing raw network datasets and streaming them in real time.
  • Configured and containerized Zeek, Elastic Beats, Elasticsearch, and Apache Kafka using Docker Compose to collect, index, and safely buffer over 100K network event logs.
  • Set up secure public network tunnels using ngrok, creating a live login gateway so team members and stakeholders could easily access and verify the system.
Research Intern
Carnegie Mellon University (CMU)
Bengaluru
June 2026 โ€“ Present
  • Designing an open-source benchmarking framework to evaluate the performance, speed, and cost efficiency of sketching data structures against traditional database queries.
  • Developing a real-time leaderboard to track and compare metrics like accuracy, memory usage, and query processing time across various large-scale datasets.
  • Implementing and testing core sketching algorithms (such as HyperLogLog and Count-Min Sketch) to optimize approximate analytics for high-volume data streams.

Featured Projects

๐ŸŒ
LLM-Driven Autonomous Network Monitoring

Real-time network monitor using Scapy & Wireshark to capture telemetry and simulate multi-vector attacks. Integrated Llama LLM for automated root-cause analysis and Blackhole Routing for instant threat isolation.

PythonScapy LlamaWireshark
๐Ÿ›ก๏ธ
Intrusion Detection System

ML pipeline to detect 11 types of network attacks, benchmarking 7 different models. Engineered an ETL pipeline to process raw traffic data, converting complex behavioral features into ML-ready formats.

SklearnXGBoost PandasPython
๐ŸŒฑ
Sustainable LLM Optimization (GREEN-AI)

Designed a "Smart Switch" to dynamically route queries between lightweight and large LLMs to reduce compute costs. Integrated Carbon Tracking to measure COโ‚‚ emissions per inference.

DistilGPTCarbon Tracking PythonCloud

My Education

๐ŸŽ“
Bachelor of Engineering โ€“ Information Science
BMS College of Engineering
๐Ÿ“ Bengaluru, Karnataka
๐Ÿ“š
Pre-University Course (PCMB)
BGS PU College
๐Ÿ“ Ramanagara, Karnataka
๐Ÿซ
SSLC
Vasavi Vidyanikethan
๐Ÿ“ Ramanagara, Karnataka

My Certifications

Supervised Machine Learning
DeepLearning.AI
Google Cloud Engineering
Google Cloud
DSA in Python
NPTEL

Get In Touch

Let's Connect!

I'm currently open to internship opportunities, collaborations, and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!