Akhil Sai Kandula
Vijayawada
Overview
2
2
years of professional experience
1
1
Certification
Work History
Research Associate
KL University
Vijayawada
06.2022 - 03.2023
- Developed and optimized Python-based data preprocessing, annotation, and validation pipelines for the National Language Translation Mission (NLTM: BHASHINI), processing large-scale multilingual speech datasets on Linux infrastructure under MeitY, Government of India.
- Collaborated with Dr. Suryakanth V. Gangashetty to implement automated speech processing and quality evaluation workflows, improving translation model accuracy through systematic pipeline engineering.
- Designed shell and Python scripts for batch processing and continuous evaluation of speech datasets, enabling efficient iteration and delivery of quality metrics across distributed teams.
AWS/Web Developer Intern
AICTE
Virtual
04.2021 - 10.2021
- Developed and deployed RESTful APIs using Spring Boot on AWS, leveraging Lambda, CloudFormation, and CI/CD pipelines (CodePipeline, CodeBuild, CodeDeploy) for automated build, test, and deployment workflows.
- Implemented secure user authentication and role-based access control using Spring Security and OAuth 2.0, following cloud-native design patterns and infrastructure-as-code practices.
Education
MSc - Computer Science
Lakehead University
05.2026
Skills
- Python
- Java
- JavaScript
- TypeScript
- SQL
- Scala
- Kotlin
- C
- C
- Shell/Bash
- AWS
- GCP
- Azure
- Terraform
- Docker
- Kubernetes
- CI/CD Pipelines
- Jenkins
- Git
- Linux/UNIX Systems Administration
- Automated Testing
- Image Build & Delivery Pipelines
- PySpark
- Apache Spark
- Airflow
- Kafka
- ETL/ELT
- Python Packaging
- Shell Scripting
- Pipeline Orchestration
- Batch & Streaming Processing
- BigQuery
- Elasticsearch
- DynamoDB
- MySQL
- PostgreSQL
- Data Modeling
- Query Optimization
- RESTful APIs
- API Gateway
- Microservices
- Spring Boot
- Flask
- Django
- Expressjs
- OAuth 20
- OpenSearch
- Grafana
- Data Quality & Validation
- IAM
- Cloud Security
- Agile/Scrum
- Event-Driven Architecture
- Code Reviews
Certification
- AWS Certified Developer - Associate
- Oracle Cloud Infrastructure Developer - Associate
- ServiceNow System Administration
Technologies
Python, Java, JavaScript, TypeScript, SQL, Scala, Kotlin, C, C++, Shell/Bash, AWS (EC2, Lambda, SAM, CloudFormation, CodePipeline, CodeBuild, CodeDeploy, ECR, S3), GCP (Dataproc, GCS, BigQuery, GCE), Azure, Terraform, Infrastructure as Code, Docker, Kubernetes, CI/CD Pipelines, Jenkins, Git, Linux/UNIX Systems Administration, Automated Testing, Image Build & Delivery Pipelines, PySpark, Apache Spark, Airflow, Kafka, ETL/ELT, Python Packaging, Shell Scripting, Pipeline Orchestration, Batch & Streaming Processing, BigQuery, Elasticsearch, DynamoDB, MySQL, PostgreSQL, Data Modeling, Query Optimization, RESTful APIs, API Gateway, Microservices, Spring Boot, Flask, Django, Express.js, OAuth 2.0, OpenSearch, Grafana, Data Quality & Validation, IAM, Cloud Security, Agile/Scrum, Event-Driven Architecture (SNS, SQS, EventBridge), Code Reviews
Projects
- Cloud Image Build & Delivery Pipeline, github.com, Built an automated image build and testing pipeline using Python, Docker, and Jenkins to create, validate, and publish container images across AWS (EC2/ECR) and GCP (GCS/GCE) environments., Implemented infrastructure-as-code with Terraform and CloudFormation, enabling reproducible multi-cloud image delivery with automated integration tests and rollback capabilities.
- Credit Card Fraud Detection System, github.com, Built a real-time fraud detection pipeline using Python and Scikit-learn on 284K+ transactions, deploying as a containerized REST API with Flask and Docker on Linux, with Kafka-based streaming ingestion., Automated model training, testing, and deployment using CI/CD pipelines, achieving sub-200ms inference for live transaction scoring in a Kubernetes-orchestrated environment.
- Stock Market Sentiment & Price Prediction, github.com, Developed a Python-driven data pipeline using PySpark to scrape and analyze 50K+ financial articles, deploying LSTM and Prophet forecasting models on AWS EC2 with automated scheduling via Airflow.
- Resource Allocation Optimization, github.com, Developed a constraint-based optimization system in Kotlin using linear programming and genetic algorithms, containerized with Docker and deployed via automated CI/CD workflows.
- Speech Emotion Recognition, github.com, Created a Python deep learning model for speech emotion recognition using MFCC feature extraction and MLP Neural Networks, with automated training pipelines on Linux using the RAVDESS dataset and Librosa.
Timeline
Research Associate
KL University
06.2022 - 03.2023
AWS/Web Developer Intern
AICTE
04.2021 - 10.2021
MSc - Computer Science
Lakehead University