Pradeep BM profile photo 1 on Tal

Pradeep BM

Lead Software Engineer | Backend & Cloud Platforms | GraphQL, AWS, MongoDB Atlas, API Security | Building MCP tools for AI assistants @ Onstak Inc

Greater Bengaluru Area

14+ years of work experience

Onstak Inc
Nov 20188 yrsPresent

Bengaluru, Karnataka, India

The seven projects #ProjectHeadline result 1 Moving a Tier-1 API from Axway to Kong Removed the 25 MB response limit, and clients switched with no code changes 2 Raw ASUP Viewer storage and performance (Solr to Cassandra, then Elasticsearch) 30–40% faster responses, and multi-year queries stopped timing out 3 GraphQL API performance and risk acknowledgment Removed per-record database calls; review caught problems such as an uncached query on an 18M-document collection 4 Serverless API authorizer (8 authentication methods) Automated secret rotation, removed hardcoded secrets, and prototyped edge prioritization 5 Zero-downtime move to MongoDB Atlas Services stayed up through the cutover, and bad data is rejected when written 6 MCP tools and the LLM evaluation harness AI agent mistakes (wrong tool, wrong arguments) are caught in CI, and models can be compared 7 Security and data protection The threat model found and closed a TLS gap; consistent PII masking; Log4Shell fixed 8 Complete Legacy REST API migration to new API techstax Datahub Platform and GraphQL API
Jul 20144 yrs 5 mosNov 2018

Robosoft Technologies
Jun 20131 yr 1 moJun 2014

iDeation Group
May 20121 yr 2 mosJun 2013

Bangalore

Developing iOS Application

Pradeep’s AI Stack

claude code
claude code
claude
claude
cursor
cursor
gemini
gemini
github copilot
github copilot
langchain
langchain

Education

Bachelor of Engineering (B.E.), Computer Science

T.John Institute Of Technology

20074 yrs2011
Visvesvaraya Technological University

Bachelor of Engineering, Computational Science

Visvesvaraya Technological University

20112011

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Headline

Lead Software Engineer | Backend & Cloud Platforms | GraphQL, AWS, MongoDB Atlas, API Security | Building MCP tools for AI assistants @ Onstak Inc

About

I'm a backend and platform engineer with 12+ years of experience. I started out building native iOS apps for fintech, ed-tech, IoT and hospitality clients, and for the last 8 years I've worked on NetApp Active IQ, now called Digital Advisor. NetApp customers use it to keep an eye on the health, risk and capacity of their storage systems. Over that time I've come to own a good part of the backend: • The Apollo GraphQL API behind risk, wellness, upgrade and capacity insights, running on AWS ECS Fargate with MongoDB Atlas • The AWS Lambda authorizer that checks every REST, GraphQL and MCP request (OAuth 2.0, JWT, RBAC) • The AutoSupport telemetry pipeline and the Raw ASUP Viewer API These days I lead a small workstream, which means planning and estimates, mentoring the engineers on it, and working closely with NetApp product owners and architects. I've also been building MCP tools so AI assistants can query Active IQ data, along with a harness that tests how well agents actually use them. I'm open to Lead and Staff roles in backend or platform engineering. Happy to connect.

Location

Greater Bengaluru Area

AI stack

claude code

claude

cursor

gemini

github copilot

langchain

Work experience

Technical Lead at Onstak Inc, Nov 2018 - Present · 8 yrs, Bengaluru, Karnataka, India, The seven projects #ProjectHeadline result 1 Moving a Tier-1 API from Axway to Kong Removed the 25 MB response limit, and clients switched with no code changes 2 Raw ASUP Viewer storage and performance (Solr to Cassandra, then Elasticsearch) 30–40% faster responses, and multi-year queries stopped timing out 3 GraphQL API performance and risk acknowledgment Removed per-record database calls; review caught problems such as an uncached query on an 18M-document collection 4 Serverless API authorizer (8 authentication methods) Automated secret rotation, removed hardcoded secrets, and prototyped edge prioritization 5 Zero-downtime move to MongoDB Atlas Services stayed up through the cutover, and bad data is rejected when written 6 MCP tools and the LLM evaluation harness AI agent mistakes (wrong tool, wrong arguments) are caught in CI, and models can be compared 7 Security and data protection The threat model found and closed a TLS gap; consistent PII masking; Log4Shell fixed 8 Complete Legacy REST API migration to new API techstax Datahub Platform and GraphQL API

Software Engineer at Softtrends Software, Jul 2014 - Nov 2018 · 4 yrs 5 mos

iOS Developer at Robosoft Technologies, Jun 2013 - Jun 2014 · 1 yr 1 mo

Iphone Developer at iDeation Group, May 2012 - Jun 2013 · 1 yr 2 mos, Bangalore, Developing iOS Application

Education

Bachelor of Engineering (B.E.), Computer Science, T.John Institute Of Technology

Bachelor of Engineering, Computational Science, Visvesvaraya Technological University