IntelliTalent — Resume-to-Job Matching
End-to-end resume analysis and job matching platform using semantic embeddings, RAG-based skill extraction, and hybrid scoring to surface the most relevant opportunities.
Projects
I build data pipelines,
ML models & insights.
Reverie — Personal Music Journal
Random Forest mood classifier trained on 278K Spotify songs (92% test accuracy) with passive listening tracking and LLaMA 3–generated daily journal reflections.
Nuvlo — Expense Tracker
End-to-end personal finance system linking real US bank accounts via Teller.io mTLS API — FastAPI + PostgreSQL on GCP Cloud Run, BigQuery analytics, Terraform IaC, and Grafana Cloud observability.
Social Media Toxicity Detection
NLP pipeline to classify hate speech and toxicity across 1.8M+ social media records using classical ML and transformer-based models, with cross-platform domain adaptation.
Walmart Sales Data Analysis
Statistical analysis of 550K+ Black Friday transactions using bootstrapping and confidence intervals to uncover how gender and age influence spending behavior.
LLM-Assisted EDA
Upload any dataset and instantly receive AI-generated insights, visualizations, and summaries.
Skills
Languages
PythonSQLR
ML & AI
Scikit-learnPyTorchHuggingFace TransformersLangChainFAISSOpenAI APIGroq (LLaMA 3)TF-IDFRandom ForestDistilBERTLightGBM
Libraries & Tools
NumPyPandasFastAPIReactStreamlitNLTKPyMuPDFDockerGitNginx
Cloud & Data
AWS EC2GCP (BigQuery, GCS, Cloud Run)PostgreSQLMongoDBApache AirflowRedpanda (Kafka)PySparkdbtTerraformGitHub ActionsGrafana
Agentic Coding
Claude CodeCodex
About Me
I build data and ML systems that
turn everyday problems into measurable answers.
This is my story — told alongside a few photos from moments I've captured along the way.
Where it started.
My curiosity for technology started early. I was always fascinated by computers and how intelligent systems could assist humans.
Watching Interstellar sparked a deeper interest in artificial intelligence and the idea that machines could help solve complex problems.
That curiosity eventually led me toward the world of data and AI.
Building the foundation.
I studied Computer Science with a specialization in Data Analytics at Vellore Institute of Technology.
During this time, I explored topics such as machine learning, statistics, and data systems, which helped me understand how data forms the foundation for intelligent technologies.
Later, I joined IBM, where I worked on enterprise systems supporting hundreds of users. Working in these large environments helped me understand how technology operates at scale and how solving system problems can have a real impact on organizations.
The turning point.
While working in enterprise systems, I realized something important.
I didn't just want to maintain systems — I wanted to build intelligent products.
That realization pushed me to deepen my knowledge of data systems, machine learning, and AI.
What I'm building now.
Today, I'm pursuing my Master's in Data Science at the University of Colorado Boulder.
Alongside my studies, I enjoy building projects that explore the intersection of data engineering and AI. Recently, I've been working on tools like a system that tracks credit card bills in one place using automated data pipelines.
I enjoy building practical systems like this that turn everyday problems into small engineering solutions.
Beyond technology.
Outside of technology, I enjoy photography, football, music, and cooking.
I like exploring new places, trying new food, and capturing moments with my camera. I also keep a bucket list of experiences I hope to pursue along the way.
Many of these moments become photos alongside this story.
Thanks for stopping by!
– Augustine
Where it started.
My curiosity for technology started early. I was always fascinated by computers and how intelligent systems could assist humans.
Watching Interstellar sparked a deeper interest in artificial intelligence and the idea that machines could help solve complex problems.
That curiosity eventually led me toward the world of data and AI.
The turning point.
While working in enterprise systems, I realized something important.
I didn't just want to maintain systems — I wanted to build intelligent products.
That realization pushed me to deepen my knowledge of data systems, machine learning, and AI.
Beyond technology.
Outside of technology, I enjoy photography, football, music, and cooking.
I like exploring new places, trying new food, and capturing moments with my camera. I also keep a bucket list of experiences I hope to pursue along the way.
Many of these moments become photos alongside this story.
Thanks for stopping by!
– Augustine
This is my story — told alongside a few photos from moments I've captured along the way.
Building the foundation.
I studied Computer Science with a specialization in Data Analytics at Vellore Institute of Technology.
During this time, I explored topics such as machine learning, statistics, and data systems, which helped me understand how data forms the foundation for intelligent technologies.
Later, I joined IBM, where I worked on enterprise systems supporting hundreds of users. Working in these large environments helped me understand how technology operates at scale and how solving system problems can have a real impact on organizations.
What I'm building now.
Today, I'm pursuing my Master's in Data Science at the University of Colorado Boulder.
Alongside my studies, I enjoy building projects that explore the intersection of data engineering and AI. Recently, I've been working on tools like a system that tracks credit card bills in one place using automated data pipelines.
I enjoy building practical systems like this that turn everyday problems into small engineering solutions.
Experience
IBM
SAP OpenText VIM Consultant — Finance and Tax Workflow
Apr 2024 – Jun 2025 · Ahmedabad, India
Analyzed invoice validation failures across 8 SAP-integrated systems; identified root cause patterns to reduce ticket resolution time. Resolved 10+ daily tickets with 100% SLA adherence; optimized automated invoice processing workflows, earning client recognition for operational impact.
SAP MM Consultant — Procurement and Inventory Management
Jul 2022 – Mar 2024 · Pune, India
Provided application support for SAP MM module serving 500+ users; executed 20+ monthly system enhancements and data validation checks across production environments. Identified recurring patterns in support tickets to prioritize fixes; earned client recognition for consistent performance and system reliability.
Education
University of Colorado Boulder
M.S. in Data Science
Aug 2025 – May 2027 · Boulder, Colorado
Vellore Institute of Technology
B.Tech in Computer Science (Data Analytics)
Jul 2018 – May 2022 · Andhra Pradesh, India