00 / INDEX

CS · UT ARLINGTON

DALLAS, TEXAS

B.S. + AI CERT

AI/ML · Full Stack · Computer Vision · Infrastructure

Designing and building intelligent systems from vision to deployment.

Computer Science student at UT Arlington graduating December 2026. I design and ship intelligent systems across full-stack engineering, intuitive UI/UX, AI/ML pipelines, and real-time computer vision. Currently exploring AI systems, automation, and modern software architecture.

view selected work →github.com/Pranillama

Undergraduate ResearcherOURCS@DFW

Data Analytics InternHunt Consolidated, Inc.

Undergraduate ResearcherOURCS@DFW

Data Analytics InternHunt Consolidated, Inc.

Undergraduate ResearcherOURCS@DFW

Data Analytics InternHunt Consolidated, Inc.

Undergraduate ResearcherOURCS@DFW

Data Analytics InternHunt Consolidated, Inc.

02 / FOCUS

where my work
concentrates

FULL_STACK

sys.01

Full-Stack Engineering

End-to-end product work — typed React/Next.js frontends, FastAPI & Node services, relational data models, and the glue that keeps them reliable.

AI_ML

sys.02

AI/ML Systems

RAG pipelines, embeddings & retrieval, Machine Learning techniques, and applied model integration with Gemini, Claude Vision and VLMs.

VISION

sys.03

Computer Vision

Real-time inference on-device and at the edge — YOLOv8, MediaPipe and OpenCV for detection, tracking, and form/gesture analysis. Training own models as well as Pre training models.

INFRA

sys.04

Infrastructure / DevOps

AWS architectures, containerized services with Docker, CI/CD, and deployment pipelines built for reliability and low operational cost.

03 / LOG

where i've
worked

Experience

Undergraduate ResearcherFeb. 2025 – Mar. 2025

OURCS@DFW · Arlington, TX

Researched the robustness of text summarization models by applying adversarial attacks and analyzing their impact using Hugging Face and ROUGE scores.
Explored AI security vulnerabilities and model evaluation techniques to assess reliability and performance.
Recommended improvements to prompt templates after observing a 10–15% drop in ROUGE recall on adversarial samples.

Data Analytics InternSept. 2023 – Dec. 2023

Hunt Consolidated, Inc. · Dallas, TX

Analyzed qualitative and quantitative datasets supporting a $500K+ investment decision, synthesizing findings into executive-ready reports and decision briefs.
Improved analysis and reporting efficiency through Excel-based data cleaning, structuring, and synthesis, cutting preparation time by 30%.
Applied AI-assisted summarization to consolidate insights from 15+ interviews and 5+ site visits, accelerating technical decision-making.

04 / PROJECTS

Selected work

7 shown

01HackSMU Winner

ROLE

Full Stack

saving_water

TypeScript · PythonTop 124h Build

Water-usage intelligence platform that turns household consumption data into actionable conservation insight — overall winner at HackSMU.

›Engineered the data pipeline that transformed raw usage data into real-time conservation insights under a 24-hour build window.

TypeScriptPythonData Pipeline · Full Stack

github ↗

jhakri-ai

Next.js · RealtimeRealtime

Collaborative system-design workspace: describe an architecture in plain English, generate it on a shared canvas, refine it with collaborators, and export a technical spec.

›Designed the LLM-to-diagram generation loop and the realtime multiplayer canvas that keeps concurrent architecture edits consistent across collaborators.

Next.jsReactFlowLiveblocksTrigger.devRealtime · Distributed State · AI Systems

VisionGuide

On-device CV · VoiceOn-DeviceRealtime

Mobile app for real-time indoor navigation assistance — on-device object detection paired with spoken guidance for accessibility.

›Built the on-device perception loop — MediaPipe detection fused with Claude Vision scene reasoning — driving spoken guidance at interactive latency.

MediaPipeClaude VisionWeb Speech APIReactComputer Vision · Realtime AI · Edge AI

github ↗

ROLE

Computer Vision

MavPark

YOLOv8 · Spring BootRealtime

Smart parking platform for UT Arlington that surfaces real-time parking availability across campus lots.

›Developed the YOLOv8 detection pipeline that converts raw lot camera feeds into live per-space availability served through a Spring Boot API.

YOLOv8PythonJava (Spring Boot)ReactComputer Vision · ML Pipeline · Streaming

github ↗

LimenFit

Docker · PostgreSQL

Minimal, high-speed fitness tracker: fast workout logging, AI-assisted progress tracking, plan sharing, and computer-vision form analysis.

›Built the pose-landmark form-analysis layer on top of a containerized PostgreSQL backend designed for sub-second workout logging.

TypeScriptPostgreSQLDockerFull Stack · Computer Vision

github ↗

CloudTask

AWS ServerlessServerless~$0 Idle

Full-stack serverless task manager on AWS with scheduled daily reminders — a study in event-driven, low-cost cloud architecture.

›Architected an event-driven serverless backend — EventBridge schedules fan out through Lambda and SNS — running at near-zero idle cost.

LambdaDynamoDBEventBridgeSNSCognitoServerless · Event Driven · Cloud Infrastructure

github ↗

07RAG

Music Recommender w/ RAG

Gemini · GuardrailsGrounded

Extends a rules-based recommender into a full RAG pipeline: embeds natural-language queries, retrieves matches via similarity search, and generates conversational recommendations.

›Implemented the retrieval pipeline and a grounding guardrail that rejects any recommendation not traceable to retrieved catalog data.

Gemini APIEmbeddingsPythonRAG · ML Pipeline

github ↗

05 / STACK

tools &
capabilities