LLM & Agents
8+ years exp
3+ projects
Java
Python
C++
JavaScript
SQL
C
Active 3 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Software Engineering graduate with internship experience building backend services and AI/LLM applications, including LLM-assisted document generation and NLP ranking systems. Has hands-on experience with retrieval-based workflows, evaluation-oriented thinking, and production-oriented backend development using Python and FastAPI. Also worked on data processing and monitoring systems with ETL optimization and anomaly detection.
Phone
Technical skills
Languages
6
Java
Python
C++
JavaScript
SQL
C
AI/ML
11
LLM
Streamlit
Embeddings
NLP
Semantic Search
LangChain
LangGraph
NumPy
Pandas
Scikit-learn
TensorFlow
Other
23
Tableau
FAISS
FastAPI
AWS
PostgreSQL
Flask
TensorFlow C++
Chroma
Hugging Face
GitHub
Git
Linux
Terraform
Rest API
Docker
ETL/ELT
AI Agents
Machine Learning
CI/CD
RAG
Structured Outputs
Reranking
Semantic Search
Timeline
University of Queensland (UQ)
Master's Degree •
Software Engineering
Data & Analytics Intern
•
Junior
Protiviti
•
Internship
Built an LLM-assisted document generation system using FastAPI, combining structured extraction, validation logic, and deterministic template outputs. Designed automated consistency checks to detect incomplete or incorrectly structured results before review. Gathered ambiguous requirements from directors and analysts and iterated on features based on user feedback.
Python
FastAPI
LLM
Data Science Intern
•
Junior
AI Seer
•
Internship
Developed a Python-based monitoring system in Streamlit to process and analyze 500K+ MongoDB events per day. Improved ETL and database workflows using performance-oriented tactics like indexing and batch processing, reducing end-to-end latency by 40%. Implemented anomaly-detection workflows to surface uptime degradation and unusual activity from high-volume event streams.
Python
ETL/ELT
Software Developer Trainee
•
Junior
Concept Robotics and Automation
•
Internship
Built Python automation tools for QA and engineering reporting to reduce manual reporting effort. Analyzed industrial telemetry data for reliability monitoring and supported engineers in debugging software and deployment issues across integrated systems.
Python
Data Science Intern
•
Junior
BDO
•
Internship
Created an NLP-based candidate ranking prototype using transformer embeddings and semantic similarity for high-volume screening. Implemented FAISS-based vector search to retrieve and rank semantically relevant candidates from embedded resume data.
Python
FAISS
Semantic Search
Embeddings
