Software Engineering · AI/ML · Product

Tanish
Murali.

Computer Science student at The University of Texas at Dallas building full-stack software, AI-powered systems, and products that turn complex data into useful experiences.

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About

I like building things that actually do something.

My work spans software engineering, AI/ML, research, product development, and startup environments. I enjoy taking an idea from early concept to a working system people can use.

Software + AI

I work across backend services, frontend interfaces, APIs, machine learning pipelines, LLM-powered systems, and data processing.

Research + Product

I also enjoy research-heavy problems, especially projects involving signals, cognition, intelligent interfaces, and turning technical systems into usable products.

Featured work

Projects I'm proud of.

A mix of hackathon builds, research systems, AI pipelines, and products.

1st Place · HackSMU 2026

Project Tusk

A full-stack AI platform for ElephantVoices that combines custom audio processing, machine learning, LLM-powered reasoning, and real-time interfaces to help researchers analyze elephant vocalizations.

The system removes noise from audio, extracts acoustic features and MFCC voice fingerprints, classifies elephant call types, and turns the results into readable research summaries.

Python FastAPI React scikit-learn librosa OpenAI WebSockets
1st Place iMasons Track · HackSMU 2026
32 Hours 4-person hackathon build
75-D MFCC voice fingerprint
12 Features Acoustic features used for classification
AI Research

MindScape

An EEG research initiative that converts raw brain-signal data through cleaning, pattern extraction, and AI interpretation into explorable 3D environments for cognitive and emotional analysis.

EEG Signal Processing AI 3D Environments
Sports Analytics

ArchivePicks

A Python-based Discord product delivering real-time statistics, multi-game analysis, historical performance insights, and live sports-data integrations.

Python APIs Discord Analytics
Machine Learning

H.U.G

An AI-powered support platform that analyzes user input in real time and combines risk detection, classification, emotion analysis, and parallel processing to route users toward appropriate professionals.

Python React Firebase scikit-learn
Experience

Where I've been building.

Aug 2026 — Present

Full-stack Engineering Intern

Resilient Privacy

Building full-stack features with Go and modern frontend frameworks for a privacy and compliance platform. I also work on NLP/ML capabilities for tone and emotional sentiment analysis in conversational data.

May 2026 — Present

Undergraduate Research Lead

EchoLab / Mindcore

Leading a team developing MindScape, including research direction, workflow coordination, signal-processing pipelines, AI interpretation, model experimentation, and EEG-driven 3D environments.

Jun 2025 — Present

Chief Product Officer

ArchivePicks

Engineering and optimizing a Python Discord bot, integrating live-data APIs, leading product strategy, improving response speed, and helping scale the platform to nearly 3,400 active users.

Toolkit

Technologies I work with.

Languages

Python JavaScript TypeScript C++ Java SQL C Assembly

AI / ML

scikit-learn librosa FastAPI REST APIs LLMs Generative AI Agentic AI Microsoft Copilot

Cloud & Enterprise

AWS Microsoft Azure GCP Power Apps Power Automate SAP

Tools & Platforms

Git GitHub Linux UNIX Agile Scrum VS Code
Education

University of Texas at Dallas.

Bachelor of Science in Computer Science

Coursework includes advanced data structures and algorithms, database systems, computer architecture, UNIX programming, software engineering, object-oriented design, and discrete mathematics.

GPA: 3.4
Expected May 2027
Contact

Let's build something interesting.

I'm interested in software engineering, AI/ML, research, startups, product development, and challenging technical problems.

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