Portrait of Girija Shankar Tumma

Girija Shankar Tumma

NU Northeastern University
SRM SRM University
View LinkedIn ›
1M+
User interactions served
<200ms
P99 response latency
40%
Database load reduced
68%
Processing time cut
99.9%
System reliability
25%
Fewer deploy errors
Summary

Software Engineer with 4+ years of experience building backend services, web applications, data pipelines, and cloud-based systems. I work with Python, Java, React, TypeScript, SQL, AWS, Azure, Spark, and modern DevOps tools. My work includes systems supporting more than 1M interactions, sub-200ms P99 latency, 99.9% reliability, and measurable improvements in database and data-processing performance.

Stack

Software Development

PythonSQLC++Java OODDesign PatternsDSASystem Design

Cloud & Infrastructure

AWSAzureGCPDockerKubernetes Apache SparkDatabricksAWS CDKLinux

MLOps & CI/CD

MLflowAirflowGitLab CI GitHub ActionsJenkinsGit

Data & Analysis

Spark SQLETL PipelinesUnit Testing Code ReviewsAgileDebugging

ML & Generative AI

LangChainLlamaIndexTransformers PyTorchTensorFlowAI Agents
Experience
Software Engineer
Feb 2026 — Present
IpserLab Startup, LLC — Remote, Mountain View, CA
  • Developed backend services and REST APIs using Python, Flask, Java, and SQL for application workflows supporting more than 1M interactions.
  • Built React-based user interfaces and connected them to backend APIs.
  • Developed distributed data-processing pipelines using PySpark, Amazon S3, and Redshift to transform data for downstream applications.
  • Investigated database performance bottlenecks and optimized SQL queries, indexes, and schemas, reducing database load by approximately 40%.
  • Wrote unit, integration, and API tests using pytest to validate service behavior and interactions between application components.
  • Automated service deployments using Jenkins, Docker, and AWS CDK to support repeatable application releases.
  • Implemented CloudWatch logging and monitoring to diagnose production failures, investigate performance issues, and support approximately 99.9% service reliability.
Software Engineer Co-op
Jan 2025 — Aug 2025
IpserLab Startup, LLC — Remote, Mountain View, CA
  • Implemented Python microservices and deployed them to AWS EC2 and Lambda using AWS CDK in Linux-based environments.
  • Developed Spark SQL and Databricks workflows to process data and support application database integrations.
  • Built REST APIs and ETL integrations to exchange data between distributed application components.
  • Implemented automated data-validation checks to identify processing errors and inconsistencies in pipeline outputs.
  • Orchestrated data-processing workflows using Apache Airflow and supported containerized deployments with Docker, Kubernetes, and GitLab CI/CD.
  • Developed unit, integration, and API tests using pytest to verify application behavior and support release validation.
  • Investigated application failures and performance bottlenecks using CloudWatch, collaborating with engineers on debugging, code reviews, and fixes.
Software Engineer
Jun 2020 — Jul 2023
Cognizant — Hyderabad, India
  • Developed SQL-based ETL workflows supporting enterprise data processing, business applications, and reporting.
  • Automated data-quality checks to identify discrepancies and support investigation of incorrect or incomplete processing results.
  • Optimized SQL queries used to retrieve and process high-volume datasets for enterprise analytics.
  • Maintained AWS EC2 and Glue components supporting cloud-based processing; investigated production failures through debugging and log analysis.
  • Collaborated with cross-functional Agile teams to implement, test, and deploy fixes and application changes.
Projects
Systems / SQL

Airport Management System

Sep 2025 — Dec 2025

Relational database system for flight scheduling, passenger bookings, staff assignments, and resource allocation. ER diagrams, stored procedures, triggers, and secondary indexing for query performance.

Column-level encryption for sensitive data. 10+ Tableau dashboards covering delay impact, seasonal trends, and revenue optimization modeling.

Deep Learning · Published

Air Pollution Prediction Using Deep Learning

Dec 2021 — Jul 2022

Hybrid CNN-LSTM model predicting PM2.5 levels from AQI data across Beijing monitoring stations — CNNs for spatial features, LSTMs for temporal patterns.

Analyzed multi-station correlations to improve model reliability and forecasting accuracy.

📄 IEEE MysuruCon 2022 Publication ›
VLSI / Hardware

VLSI Design Lab Project

Jan 2021 — May 2021

CMOS inverter design & MOSFET characterization in Cadence Virtuoso — simulated 90nm NMOS/PMOS transistor behavior (ID-VGS, ID-VDS).

Extracted Vth, Vdsat, noise margins, propagation delay, and dynamic power across VDD, temperature, and sizing ratios via DC and transient analysis.

IoT / Embedded

IoT-Based Water Monitoring System

Dec 2020 — May 2021

Arduino Uno–based automated irrigation system using soil moisture and water level sensors for real-time, threshold-based pump control.

Integrated ESP8266 for remote cloud monitoring, with fail-safe logic to prevent dry-run conditions and reduce water waste.

Image Processing

X-Ray Image Denoising using MATLAB

Dec 2019 — Apr 2020

Denoising system for medical X-ray images using Total Variation methods, Wavelet Transform, and PCA to reduce noise while preserving diagnostic features.

Applied probabilistic and statistical models to improve accuracy in digital signal & image processing workflows.

Certifications

Cloud & Data

AWS Certified Developer – Associate (Training)
Udemy · Nov 2021
Big Data Complete Course
Udemy · Aug 2021

AR / VR

Beginner's Guide to Augmented Reality with Unity
Udemy · Apr 2021
Certificate of Achievement in AR & VR
ProProfs · Nov 2020

Mobile Development

Build a Social Network with Flutter & Firebase
Udemy · Jan 2020
Flutter Development Using Dart — Certificate of Graduation
The App Brewery · Apr 2020
Education
Master of Science, Information Systems
Sep 2023 – Dec 2025
Northeastern University, Boston, MA · GPA 3.515 · Data Science, Cloud Computing, DBMS, Machine Learning