Technologies & Tools

PythonScalaReactTerraformGitHub ActionsMongoDBPyTorchPandasPythonScalaReactTerraformGitHub ActionsMongoDBPyTorchPandas
JavaScriptFastAPIAngularDockerPostgreSQLRedisScikit-LearnNumPyJavaScriptFastAPIAngularDockerPostgreSQLRedisScikit-LearnNumPy

About

Curious engineer. Data-driven builder.

I've always been curious about how things work. That curiosity first led me into building full stack web applications and, over time, into the world of data, cloud engineering, and applied AI.

With over five years of experience as a software engineer, I now focus on designing and delivering data driven systems that turn ideas into real world solutions. My journey has evolved from crafting user facing applications to engineering smart, connected systems that can make a tangible difference, from improving operational efficiency to supporting sustainability goals.

I'm currently a Cloud Data Engineer at Koolmill Systems Limited, contributing to an Innovate UK funded project developing next generation smart systems for rice milling. It's a role that blends my technical background with my passion for creating meaningful, impactful technology.

What drives me is the opportunity to keep learning, keep building and create solutions that matter. Apart from siting in front of computer I love

0+
Years Industry Experience
Raja Shekar

Experience

Where I've worked

Cloud Data Engineer

Koolmill Systems

Jun 2025 – Present
Sheffield, UK
  • ▸Contributed to the Innovate UK funded Digital Rice Mill Demonstrator project, developing a scalable cloud data platform for real-time monitoring of industrial rice milling machines.
  • ▸Architected end-to-end data architecture to ingest and process second-level industrial time-series telemetry from PLC-controlled milling systems via edge devices.
  • ▸Designed multi-tenant time-series data model, reducing large-range query latency from 25–35s to sub-second responses.
  • ▸Led zero-downtime production data migration (14-hour rollout) with validation checks, reducing database RCU/WCU consumption and operational costs.
  • ▸Built real-time telemetry ingestion pipelines using AWS IoT platform alongside batch ETL workflows for daily and monthly operational analytics.
  • ▸Implemented CI/CD and infrastructure automation using GitHub Actions, Docker, ECR, ECS and Terraform across multi-environment deployments.
  • ▸Designed secure API layer using IAM, ABAC policies and Cognito enabling tenant-level access control to industrial machine telemetry.
AWSPythonGitHub ActionsCI/CDDockerData ModellingTerraformExcelIOTTime-Series Data

Software Engineer

TruNums

Oct 2022 – Jan 2024
Remote, US
  • ▸Developed and deployed a MEAN-stack social media platform serving 5,000+ global users, delivering scalable user interactions and real-time content features.
  • ▸Designed scalable MongoDB and Redis data models improving application performance and session handling.
  • ▸Deployed production releases via AWS, reducing downtime and ensuring stable global updates.
Node.jsAngularMongoDBRedisAWSRest APICI/CD

Software Engineer

Groundhog Apps

Dec 2019 – Aug 2022
Hyderabad, India
  • ▸Developed and maintained MEAN-stack applications for mining operations, contributing to a 40% increase in production throughput per shift.
  • ▸Automated shift-end reporting workflows, reducing manual reporting effort by 50%.
  • ▸Optimised database indexing strategies, reducing query latency by 20%.
  • ▸Designed and maintained REST APIs supporting operational analytics and reporting dashboards.
Node.jsAngularMongoDBPythonREST APIRedis

Projects

Things I've built

Exoplanet Detection ML

Developed and evaluated an MLP model using the NASA Kepler dataset, applying feature engineering, model tuning, and cross-validation to classify planetary transit signals. MSc thesis project.

PythonPyTorchPandasScikit-Learn

AlertOps AI

Real-time DevOps log classification system using NLP and supervised learning (Random Forest, XGBoost, LSTM) to automatically prioritise operational alerts (P1–P4), reducing manual triaging and accelerating incident resolution.

PythonKafkaPyTorchScikit-LearnFastAPIAzure

Adobe XD Layout Plugin

Published Adobe XD plugin (500+ installs) that auto-generates accessible responsive grid layouts from component selection.

JavaScriptAdobe XD APIsCSS GridAccessibility

AG Grid Dash

Full-stack data dashboard with hybrid semantic search and a recommendation engine. Textual records are embedded into dense vectors via a FastAPI microservice and indexed in FAISS. At query time, both a traditional keyword filter and a FAISS nearest-neighbour search run in parallel — results are fused by score and ranked by semantic similarity, surfacing relevant rows even when exact terms don't match. The same embedding pipeline powers a recommendation system that suggests related records based on vector proximity, enabling discovery-style navigation across the dataset.

PythonFastAPIFAISSNode.jsTypeScriptMongoDB

Exoplanet Detection ML

Developed and evaluated an MLP model using the NASA Kepler dataset, applying feature engineering, model tuning, and cross-validation to classify planetary transit signals. MSc thesis project.

PythonPyTorchPandasScikit-Learn

AlertOps AI

Real-time DevOps log classification system using NLP and supervised learning (Random Forest, XGBoost, LSTM) to automatically prioritise operational alerts (P1–P4), reducing manual triaging and accelerating incident resolution.

PythonKafkaPyTorchScikit-LearnFastAPIAzure

Adobe XD Layout Plugin

Published Adobe XD plugin (500+ installs) that auto-generates accessible responsive grid layouts from component selection.

JavaScriptAdobe XD APIsCSS GridAccessibility

AG Grid Dash

Full-stack data dashboard with hybrid semantic search and a recommendation engine. Textual records are embedded into dense vectors via a FastAPI microservice and indexed in FAISS. At query time, both a traditional keyword filter and a FAISS nearest-neighbour search run in parallel — results are fused by score and ranked by semantic similarity, surfacing relevant rows even when exact terms don't match. The same embedding pipeline powers a recommendation system that suggests related records based on vector proximity, enabling discovery-style navigation across the dataset.

PythonFastAPIFAISSNode.jsTypeScriptMongoDB

Skills

Tools of the trade

💻

Languages & Backend

PythonSQLJavaScriptScalaFastAPINode.jsReactAngular
☁️

Cloud & AWS

S3AWS LambdaECSIoT CoreAPI GatewayCognitoCloudWatchSNSDynamoDBIAMSageMakerECR
⚙️

DevOps & IaC

TerraformDockerGitHub ActionsIAMABAC
🗄️

Databases

DynamoDBPostgreSQLMongoDBRedisCouchDB
🔄

Data Engineering

ETL/ELT PipelinesReal-Time StreamingTime-Series ModellingData ModellingQuery Optimisation
🧠

ML & Data Science

PyTorchScikit-LearnPandasNumPyMatplotlib

Education

Academic background

MSc Data Science and Analytics

University of Hertfordshire

Sep 2022 – Nov 2024 · Hatfield, UK

Focused on Machine Learning, Cloud Computing and Data Analytics. Dissertation on exoplanet detection using machine learning with NASA Kepler dataset.

BSc Computer Science

Hyderabad Institute of Technology and Management

Jun 2015 – Aug 2019 · Hyderabad, India

Core curriculum covering algorithms, data structures, database systems and software engineering.

Writing

Thoughts & articles

Vector DBRAGLLMPinecone
8 min read

Vector Databases Explained: From Embeddings to Production

A practical deep-dive into how vector DBs work, when to use Pinecone vs pgvector vs Weaviate, and patterns for RAG pipelines at scale.

Read Article→

Testimonials

What people say

Raja is an exceptional engineer and someone I had the privilege of managing on an Innovate UK funded industrial IoT project. Early on, it was clear he had the ability to take a complex challenge and run with it independently. He designed and built a complete data platform from scratch, entirely in-house, saving us a planned £60K external contract and delivering something we were genuinely proud of. His hard work and technical credibility quickly earned the trust of stakeholders across both the business and technical sides of the project. When the platform needed a major overhaul, Raja led it without a single minute of downtime, cutting costs by 70% and making the system significantly faster in the process. What stood out most about Raja was his attitude, he never waited to be told what to do, stayed calm when things got tough, and always took full ownership of what he delivered. I highly recommend Raja, he will be a real asset to any team fortunate enough to work with him.

TA
Tanvi A

Project Manager · Direct Manager at Koolmill · March 2026

Raja consistently impressed me with his critical thinking and problem-solving skills. These strengths were invaluable as we navigated challenging situations that arose during the development process at TruNums. Raja's ability to analyze problems, come up with creative solutions, and implement them effectively made him a key asset to the project. Without a doubt, Raja would be a valuable addition to any development team. His technical expertise, combined with his quick learning, critical thinking and problem-solving skills, makes him a truly exceptional candidate.

BR
Bhaskar Ramachandran

Senior .Net Core Architect · Client at TruNums · June 2024

I had the pleasure of managing Raja for a significant duration, I was consistently impressed by his ability to remain calm and composed under pressure. His strong problem-solving skills and ability to think strategically helped navigate challenging situations effectively.

PP
Prudhviraj Pampana

Engineering Manager · Direct Manager · May 2024

Contact

Get in Touch

Drop me a message to ask a question, offer an opportunity or just say hi. I'll get back to you!

rshekar.contact@gmail.com
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