The purpose of computing is
insight, not numbers.
A Little About Me
- I'm a pre-final year CS undergrad who likes turning messy data into software people actually use.
- I'm exploring software development, data analytics, machine learning, and data engineering, from full-stack apps to Power BI dashboards and predictive models.
- On the applied AI side, I have built RAG pipelines and LLM tools with FastAPI, ChromaDB, Gemini, Groq, and Ollama.
- I'm aiming for roles as a Data Engineer, Data Analyst, or AI Engineer, while building projects that I use every day.
A Few Things I Love...
Places I've worked
Product Intern
/ Atypical Advantage- Developed and integrated a multilingual STT/TTS application supporting all 22 official Indian languages with automatic mid-conversation language detection.
- Curated, structured, and preprocessed datasets for ML-based conversational learning systems, supporting reliable downstream model development.
- Contributed to the application structure for an accessible, inclusive user experience.
Research Intern
/ Malaviya National Institute of Technology (MNIT) Jaipur- Developed an end-to-end ML pipeline to detect stealthy cyberattacks on power grids by simulating adversarial manipulations of load data.
- Used clustering to baseline normal load patterns and define parameters for stealthy anomalies.
- Engineered a high-dimensional feature set (power flow measurements, statistical dispersion indicators) and trained a classifier to separate normal operation from targeted false data injections.
Research Intern
/ Indian Institute of Information Technology (IIIT) Allahabad- Cleaned and processed a combined dataset of 60,400+ records with Python and Pandas to train and validate transformer models (MentalBERT, MelBERT) for mental-health sentiment analysis.
- Analysed misclassification patterns to build an optimised two-stage hierarchical classifier.
Things I Know
View CertificationsThings I've Built
View all projects
AI-assisted organizational change management platform: describe a business process change and it generates an ADKAR impact assessment, Red/Amber/Green readiness heat map, RACI, RAID log, communication plan and training matrix.
AI-powered project operations assistant that extracts action items, risks, decisions and dependencies from documents, with human-in-the-loop approval.
Minoki: Server Manager
completedA Wi-Fi gateway, captive portal, VPN and self-hosted cloud control plane. This repository holds write-ups, diagrams and screenshots only; the source is private.
Financial Intelligence Dashboard
completedInteractive Power BI dashboard analysing financial performance across 4,400+ public companies, with company and industry level comparison of revenue, profitability, assets, liabilities and financial health.
Things I've Published
Multivariate Deep LSTM for Short-Term Load Forecasting: A Robust Framework for Delhi Under Extreme Weather
Short-term electricity load forecasting for Delhi with deep LSTM networks, focused on how the models behave during extreme weather.
Distilling Black-Box Ensembles into Interpretable Decision Trees for Explainable AI
Distils the behaviour of black-box ensemble models into decision trees that people can read, so predictions stay explainable.
Let's Talk
Words that stayed
The purpose of computing is
insight, not numbers.