summary
AI Engineer with 12 months' production experience shipping LLM
applications, multi-agent workflows and RAG systems for Twinings
Ovaltine, now completing a Master of Artificial Intelligence at Monash
University (Clayton). Published researcher (ICACCT 2026). Seeking
part-time AI/ML or software engineering roles in Melbourne — on-site,
hybrid or remote.
work_rights & availability
visa: Student (subclass 500) — 48 hrs/fortnight
in semester · unlimited during university breaks
avail: Mon 11:00–17:00 · Wed/Sat/Sun full days ·
Tue/Thu/Fri/Sat evenings · full-time during breaks
experience
AI Engineer (Graduate Trainee)Apr 2026 – Jul 2026
BizTX — internal IT team of Twinings Ovaltine · Hyderabad, India ·
awarded company-wide "AI Champion" (Q1 2026)
-
Shipped an end-to-end app that ingests PDF/PPT/DOCX and generates
podcast-style or formal narrated audio briefs — adopted by the senior
leadership team, saving ~30 min reading per document.
-
Saved the Research & Innovation team 5+ hours/week by
automating market-signal discovery and solution ideation with
ML-driven web scrapers, CrewAI agents and a human-in-the-loop learning
pipeline.
-
Designed and deployed a retrieval-augmented (RAG) Q&A system over
internal vendor documents.
AI InternJul 2025 – Apr 2026
BizTX · promoted to AI Engineer (Graduate Trainee) within 9 months
-
Reduced manual customer-feedback processing by 40% with an NLP
sentiment-analysis and persona-classification pipeline (cosine
similarity, XGBoost).
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Built a multi-agent behaviour-cloning Q&A system enabling
intelligent feedback collection for the NPD and Sensory teams.
projects & publications
Lossless Audio Reconstruction from Lossy Audio using GANs demo ↗ pypi ↗
ICACCT 2026 · SciTePress
-
GAN-based audio super-resolution reconstructing FLAC from MP3 —
14.57 dB avg SNR across 93 reconstructions; served via FastAPI
on Modal GPUs with an ONNX CLI and published on PyPI; accepted in the
peer-reviewed proceedings.
monkeyDcode — Model-Agnostic AI Coding Agent github ↗
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Co-developed a TypeScript/Python coding agent on OpenAI Agents SDK and
Vercel AI SDK with interchangeable LLM backends; implemented
43 tools across sub-agents with agentic modes and deterministic
output control.
Item-Based Collaborative-Filtering Music Recommender doi ↗
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Evaluated on 2M+ user playlists; achieved
+12% recall over traditional collaborative-filtering baselines.
skills
| languages |
Python (primary) · TypeScript/JavaScript · SQL · Rust (basic) |
| ai_ml |
RAG · Transformers · LLM APIs (OpenAI, Claude) · NLP · vector
databases · GANs · CNN/RNN · agents (MCP)
|
| frameworks |
PyTorch (CUDA) · LangChain · CrewAI · FastAPI · React · scikit-learn
· Chainlit
|
| tools |
Git/GitHub · Docker · Azure · GCP · PostgreSQL · MongoDB · MySQL
|
education
Master of Artificial Intelligence — Monash University,
MelbourneJul 2026 – Jun 2028*
B.Tech, Artificial Intelligence — Anurag University, India ·
CGPA 7.98/10Jul 2021 – Jun 2025
certifications & awards