Junior Syntax Sorcerer at Cloudbrink

Hi, I'm Ritaanshu.
I build data pipelines and the backends behind them.

Electronics & Instrumentation graduate from BITS Pilani, Goa, now writing Go and C at Cloudbrink. I like turning messy data into systems that run on their own, and I spend the rest of my time on a dance floor or at a piano.

Cloudbrinksince Jul 2026
ET Moneyintern, Jan–Jun 2026
BITS PilaniGoa, class of 2026
Portrait of Ritaanshu Agarwal
BITS
BITS Pilani, GoaB.E. (Hons.) · 2026
CB
Cloudbrink● Since July 2026
ET
ET MoneyTech Intern · Jan–Jun 2026
01About

Engineer by training,
builder by habit.

I'm from Lucknow and studied Electronics and Instrumentation at BITS Pilani, Goa, where I found my way from circuits to software. Today I'm a Junior Syntax Sorcerer at Cloudbrink, writing Go and C, after a data-engineering internship at ET Money.

Away from the keyboard I dance, play piano and guitar, and speak four languages.

2
projects built
4
languages spoken
2022 — 2026

BITS Pilani, Goa Campus

B.E. (Hons.) Electronics & Instrumentation

2022

Class XII · CBSE

Study Hall Educational Foundation

2020

Class X · CBSE

Study Hall Educational Foundation

02Experience

Where I've worked

Jul 2026 — Present
Current

Cloudbrink | Veraify

Junior Syntax Sorcerer

Joined Cloudbrink in July 2026, straight after wrapping up my internship at ET Money. Working in Go and C.

GoC
Jan 2026 — Jun 2026
Internship · completed

ET Money

Tech Intern

Architected a modular, production-grade data pipeline in Python and SQL that automates ingesting and storing unstructured text. Integrated large language models to run multi-level classification and generate responses, delivering a backend that scales and stays maintainable.

PythonSQLLLMsData pipelinesBackend
03Projects

Things I've built

P/01

Predictive Modeling of Energy Commodity Prices

Mar — Apr 2025

Deep-learning models (LSTM and LSTM-CNN) that forecast next-day energy commodity prices from macroeconomic and technical indicators. The best, a 150-neuron LSTM, was validated on RMSE, MAPE, R-score and statistical significance.

PythonLSTMCNNTime series
P/02

NSE Stock Screener & Backtester

2026

A pipeline that downloads six years of NSE market data, detects candlestick, momentum and chart patterns, and backtests them with real Indian trading costs. The finding was honest: across 2.9M bars, none of the patterns beat a randomly chosen day.

PythonpandasParquetStreamlitBacktesting
3.3Mrows
2,612symbols
6 yrshistory
04Toolkit

What I work with

// languages

GoCPythonC++SQLJavaScript

// data & backend

Data EngineeringBig Data PipelinesBackend EngineeringLLM integration

// foundations

DSADigital DesignWeb DevelopmentDeep Learning
05Beyond code

The other half

Moonwalk certified

Dance

Visca el Barça

Football

Fender Stratocaster

Guitar

Synthesizer

Piano

4 languages

Languages

नमस्ते
HindiNative
EnglishFluent
FrenchIntermediate
JapaneseLearning
06Contact

Let's build something.

Always happy to talk about data, backends, side projects, music or football.