Available for projects · May 2026

// Data Engineer · Vibe Coder · Automation Builder

Bhanu Prakash.
Manual work
→ Infrastructure.

I build data pipelines, automation systems, and internal tools for Indian financial firms — combining domain knowledge of SEBI, fintech ops, and broking with the ability to actually ship production systems.

Book a 30-min call See my work

Production systems

1,500+

Hours saved / yr

54,000

Records scraped

₹1.5L+

Work delivered

bhanu@sampadha — pipeline.py

# GCP news pipeline · runs daily at 5AM IST

import bronze, silver, gold

def run_pipeline():

sources = bronze.fetch(1247)

cleaned = silver.transform(sources)

digest = gold.format(cleaned)

return gmail.send(digest)

$ python pipeline.py

✓ 1,247 sources processed

✓ 4h manual work eliminated

✓ Digest sent · 05:00 IST

Sampadha Research (SEBI) Google Cloud Platform Anthropic Claude Bajaj Securities Motilal Oswal BigQuery · Cloud Storage Python · Apps Script Trendlyne API SEBI Compliance Next.js · Supabase Sampadha Research (SEBI) Google Cloud Platform Anthropic Claude Bajaj Securities Motilal Oswal BigQuery · Cloud Storage Python · Apps Script Trendlyne API SEBI Compliance Next.js · Supabase

The Problem

Your team is spending time
you can't afford to waste.

Before every client hires me, their team is drowning in something that should already be automated. Recognise yourself?

Pre-dawn news research

Two people waking up at 2AM to manually gather news, copy-paste into sheets, format and send a digest before markets open. Every. Single. Morning.

4–5 hours · daily · 2 people · zero automation

Client onboarding on Notepad

Sales calls, WhatsApp KYC docs, manual folder creation, three separate emails — all done by hand for every single client, taking 2–3 days each.

2–3 days · per client · regulatory risk · manual

Basket preparation errors

Building 21-column broker CSVs by hand from research notes. Wrong date format → upload fails. Wrong CE/PE → real-money mistake. Multiple times daily.

4–5 min · per basket · non-zero error rate · daily

Monthly research marathon

One analyst spending 5–7 days copy-pasting data into Word templates for 120–200 stocks. Inconsistent formatting every cycle. Analytical talent wasted on manufacturing.

5–7 days · 200 stocks · monthly · 1 analyst

I build the systems that make these problems disappear. Fixed cost once, zero marginal labor forever. Manual process becomes infrastructure — it runs in the background, never breaks, and frees your team for the work that actually matters.

Case Studies

Eight production systems.
Real numbers. Real impact.

Not mockups. Not side projects. Live systems running inside a SEBI-registered research firm. Click any card to read the full story.

Services & Pricing

What I build. What it costs.
What you get.

Fixed scope, fixed price. No hourly billing surprises. Self-qualify before you reach out — saves us both time.

Small Tool / Script

Single-purpose automation — a basket tool, a form-to-email pipeline, a scraper, a report generator. Something specific with a clear input and output.

₹15K – ₹40K one-time

// 1–3 weeks · fixed scope

Discovery call to scope exactly
Working tool in your environment
README + handover documentation
2 weeks post-delivery support

Four steps from problem
to running system.

No guessing. No vague sprints. A clear process that eliminates surprises and ships production systems that hold up.

Scoping Call

30 minutes. I learn your manual process end-to-end. We define scope, timeline, and price. No commitment needed from your side.

Discovery

I sit with the person doing the actual work — not the manager. Observe. Ask questions. Sketch the architecture before writing a single line of code.

Build & Ship

Milestone-based delivery on real data from day one. You see working software at each stage — never a big-bang delivery at the end.

Handover

Full documentation. Your team knows how to use, monitor, and recover the system. I remain reachable for 30 days post-launch.

Tech Stack

Tools I actually ship with.

Not a buzzword list. These are the tools running in production systems at Sampadha right now.

Python

Pipelines, scrapers, automation, data processing

Google Cloud Platform

Cloud Storage, BigQuery, Cloud Scheduler, Functions

BigQuery

Analytics data warehouse, SQL access for teams

Apps Script

Google Workspace automation, Forms→Sheets→Drive

Anthropic Claude API

LLM parsing, structured output, basket tools

Next.js

Web tools, internal dashboards, ResuFit

Supabase

PostgreSQL backend, auth, real-time data

Power BI

Live dashboards on top of BigQuery data

About

🟢 Available Freelance · Contract · Consulting
Hyderabad, India · Remote-first

The person behind
the pipelines.

I'm Bhanu Prakash — Data Engineer and Vibe Coder at Sampadha Research Financial Limited, a SEBI-registered research firm in Hyderabad. MCA from Satavahana University, 2024.

I didn't come into this through a traditional engineering path. I came through observation — sitting with the operations team at 2AM, watching how work actually happens, and asking one question: does this have to be done by hand? Usually, it doesn't.

My edge is sitting where domain knowledge meets implementation. I understand what a basket is, why SEBI compliance matters, why a per-stock Trendlyne token behaves differently than a global API key. Most developers don't. I combine that with the ability to actually ship production systems — not toy scripts that break the first week.

Currently pursuing Anthropic's Claude architecture credentials. Going deeper on LLMs, agentic systems, and MCP. The field is moving fast — I'm moving with it.

"I'm a data analyst who learned to ship production systems by combining domain knowledge, systems thinking, and AI as the implementation layer — and I now do this for a living."

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