Amruth Lakkavaram

Software Engineer

Bengaluru, Karnataka, India7 yrs 6 mos experience

Highly Stable

Key Highlights

Expert in backend development and data engineering.
Proficient in AWS and Azure cloud services.
Strong analytical mindset with a passion for problem-solving.

Stackforce AI infers this person is a Backend-focused Data Engineer with expertise in SaaS solutions.

Contact

Skills

Core Skills

Back-end Web DevelopmentData EngineeringMachine Learning

Other Skills

AlgorithmsAmazon Web Services (AWS)Apache KafkaAzureBusiness IntelligenceContinuous Integration and Continuous Delivery (CI/CD)Data StructuresElasticsearchExtract, Transform, Load (ETL)FlaskGrafanaJavaJenkinsKafkaKibana

About

I am a passionate software engineer with a strong analytical mindset, dedicated to solving complex problems and building innovative software solutions. Since 2018, I have gained experience in backend development, data engineering, and beginner-level data science. I specialize in developing scalable backend systems using AWS and Azure, and building data pipelines with PySpark. I am well-versed in software engineering fundamentals, including data structures, algorithms, and system design. I thrive in challenging environments and am always eager to take on new opportunities to learn and contribute.

Experience

Picarro

Backend Developer

May 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

Zendrive

2 roles

Software Development Engineer - 3

Jul 2024 – Apr 2025 · 9 mos · Hybrid

Software Development Engineer - 2

Jul 2021 – Jul 2024 · 3 yrs · Hybrid

During my 3 year tenure at Zendrive as a Software Development Engineer - 2, I have
1. Set up a disaster recovery mechanism for a few applications and tested it.
2. Worked on optimizing a few critical APIs and reducing the latency.
3. Created Kubernetes deployment scripts and Jenkins CI/CD deployment pipelines for a few back-end services.
4. Worked on event driven Java microservices with Kafka.
5. Created a few backend API services using Java Spring Boot and Python Flask.
6. Migrated databases with minimal downtime.
7. Developed a few Kibana dashboards to enable data scientists, project managers, and
product managers to track performance metrics of various machine learning
models created by the team.
8. Created a few dashboards in Grafana using HostedGraphite extension to track
performance metrics of a few backend services.
9. Implemented multithreading in a Python-based backend service to run two
machine learning models concurrently.
10. Developed cron jobs using PySpark scripts to create datasets for machine
learning models and other ETL processes.
11. Replicated a backend service from the US region to the EU region to achieve
GDPR compliance.
12. Resolved application issues through debugging on Linux servers.
13. Participated in recruitment activities by conducting interviews and assisting in
the hiring of new team members.

JavaSpring BootKubernetesJenkinsKafkaPython+5

Maq software

Software Engineer - 1

Sep 2018 – Jul 2021 · 2 yrs 10 mos · Greater Hyderabad Area

During my tenure at MAQ Software, I as a Software Engineer – 1 worked on proof of concepts and projects related to the fields of Artificial Intelligence, Machine Learning, Data Engineering and Business Intelligence. Some of the highlights during my 24+ month tenure are:
1. Developed a sound knowledge of Azure cloud services.
2. Gained expertise in writing complex SQL queries, and Python scripts.
3. Worked on performance tuning and designing SQL databases.
4. Created a number of notebooks using PySpark in Databricks to pull data from upstream sources and to process the data for Machine Learning models.
5. Created pipelines for Azure Data Factory for ingesting data from different data sources, and for performing ETL operations.
6. Wrote a number of stored procedures in T-SQL to process the data.
7. Performed deployments of AzureSQL databases and data factory (Azure Data Factory) using CI/CD in Azure DevOps.
8. Created a face recognition attendance system using Convolutional Neural Networks.
9. Built a recommendation system using collaborative filtering techniques.
10. Created a number of models using classification algorithms and NLP techniques.
11. Worked on data wrangling and data visualization using Pandas and PowerBI.