Available to hire
Hi there! I’m Raja Sharath Chandra Acha, a full-stack GoLang developer with a passion for building secure, scalable software and cloud systems. Over 5 years I’ve shipped end-to-end solutions spanning backend services, front-end interfaces, and ML-enabled automation. I thrive in fast-paced, collaborative environments and enjoy turning abstract requirements into reliable production-ready systems.
I combine software development, cloud engineering, and AI/ML expertise to design resilient architectures, streamline CI/CD, and implement observability and security best practices. I’m always eager to learn, mentor, and tackle challenging problems that deliver real value to users and stakeholders.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Javanese
Advanced
Afar
Intermediate
Amharic
Advanced
Work Experience
Software Engineer at Neiman Marcus - US
August 1, 2024 - May 31, 2025Collaborated using Agile Scrum with cross-functional teams to deliver features aligned to business goals. Revamped customer portals using React.js, Redux, and Material-UI improving load times by 30%. Developed RESTful APIs with Java, Spring Boot, and Hibernate exposed via AWS API Gateway, reducing latency by 40%. Optimized MongoDB queries linked to Elasticsearch for recommendations with 40% faster response. Built serverless architecture using AWS services like S3, DynamoDB, ECS, Step Functions, and Lambda, lowering operational costs by 30%. Automated functional tests with Postman, JUnit, and Mockito achieving 80% code coverage, significantly improving defect detection prior to production.
Lead Developer & Architect at MettaMate – India
December 1, 2023 - April 30, 2025Led the architecture, development, and product design of an Indian matrimony and dating platform. Built with Java Spring Boot, React, PostgreSQL, Redis, Elasticsearch, Docker, Terraform, and Azure Kubernetes Service. Managed scalable deployments via Azure Blob Storage, Container Registry, and Monitor. Developed an AI/ML-powered recommendation system using Transformer-based semantic tag generation from user bios and social behaviors. Designed a hybrid matchmaking system combining tag-based Elasticsearch filtering and re-ranking via engagement signals for personalized scalable matchmaking.
Developer & AI Engineer at Logiq.Ai (APICA) – India
January 1, 2022 - April 30, 2023Built intelligent log monitoring solutions integrating full-stack development with AI/ML for system metric forecasting and anomaly detection using LSTM, GRU, Transformer, and unsupervised learning methods. Designed ML workflows in AWS SageMaker with data and model versioning and retraining pipelines. Developed scalable microservices using Flask, Celery, gRPC, Docker, and Kubernetes deploying caching and multithreading to reduce processing time by 25%. Implemented over 100 cloud SDK API integrations and built dashboards with Flask, React, and Angular displaying ML outputs and alerts. Automated deployments via Terraform and Helm supporting GitOps pipelines. Set up Prometheus, Grafana, and Thanos for monitoring infrastructure and ML performance.
Fullstack & AI Engineer at AasPaaS Online Services - India
February 1, 2019 - January 31, 2022Delivered web and desktop apps across biotech and healthcare domains integrating early AI/ML capabilities for data automation and identity management. Built NLP-powered document processing and classification systems with SpaCy, TextBlob, Scikit-learn improving extraction accuracy. Developed microservices and over 200 REST APIs in Django and Spring Boot enhancing workflows by 60%. Created desktop and web apps for biotech inventory and calibration improving efficiency by 200%. Implemented Redis cache and multithreading to reduce data processing time by 50%. Managed AWS deployments using EC2, S3, Lambda, DynamoDB ensuring scalability and security. Automated CI/CD pipelines with Jenkins and Terraform and enforced secure IAM setups with AWS Cognito.
Software Engineer at Neiman Marcus - US
August 1, 2024 - May 31, 2025Collaborated with cross-functional teams using Agile methodologies to deliver timely features aligned with business goals. Revamped customer portals using React.js, Redux, and Material-UI improving performance and page load times by 30%. Developed RESTful APIs with Java 17 and Spring Boot, reducing latency by 40% through caching and AWS API Gateway. Optimized MongoDB queries for Elasticsearch recommendations, significantly reducing response times. Leveraged AWS serverless architecture including S3, DynamoDB, ECS, and Lambda to streamline deployments and cut operational costs by 30%. Automated over 50 functional validation tests and improved code coverage to 80% with JUnit and Mockito, enhancing defect detection.
Lead Developer & Architect at MettaMate – India
December 1, 2023 - April 30, 2025Remote Team Lead responsible for architecture, development, deployment, and product design of a matrimony and dating website. Utilized Java Spring Boot, React, PostgreSQL, Redis, Elasticsearch, Docker, Terraform, and Azure Kubernetes Service. Managed deployment and scaling through Azure Blob Storage, Container Registry, and Monitor. Built AI/ML based recommendation system using Transformer models to create semantic tags from user data for personalized matchmaking. Developed hybrid matchmaking via tag-based filtering and engagement-based re-ranking which improved system scalability and personalization.
Developer & AI Engineer at Logiq.Ai (APICA) – India
January 1, 2022 - April 30, 2023Developed intelligent monitoring solutions by combining full-stack development with AI/ML techniques for log data intelligence. Built time-series forecasting and anomaly detection models using LSTM, GRU, Transformers, and unsupervised methods. Orchestrated ML pipelines with AWS SageMaker and S3 for data and model versioning. Created scalable microservices containerized with Docker and orchestrated using Kubernetes. Improved request processing by 25% with caching and multithreading. Developed dashboards with Flask, React, and Angular to visualize ML outputs and real-time metrics. Automated deployments using Terraform and Helm implementing GitOps on AWS. Set up Prometheus, Grafana, and Thanos for long-term monitoring and alerting.
Fullstack & AI Engineer at AasPaaS Online Services - India
February 1, 2019 - January 31, 2022Built web and desktop applications in diverse domains including biotechnology and healthcare. Developed NLP document processing systems with SpaCy and TextBlob, improving data extraction accuracy. Created identity management microservices reducing anomalies by 20%. Developed biotech inventory and calibration apps improving experiment efficiency by 200%. Created 200+ REST APIs, cross-platform desktop apps using ElectronJS and React, and optimized data caching to cut processing time by 50%. Managed AWS deployments ensuring security and scalability. Automated CI/CD pipelines with Jenkins and Terraform, enhancing delivery speed and stability. Implemented secure authentication/authorization with AWS Cognito and IAM roles.
Software Engineer at Neiman Marcus - US
August 1, 2024 - May 31, 2025Collaborated with cross-functional teams using Agile methodologies to deliver timely features aligned with business goals. Revamped customer portals with React.js, Redux, and Material-UI improving page load times by 30%. Developed RESTful APIs using Java 17, Spring Boot, and Hibernate exposed via AWS API Gateway, reducing latency by 40%. Optimized MongoDB queries for Elasticsearch-driven personalized recommendations. Leveraged AWS services like S3, DynamoDB, ECS, Lambda, reducing operational costs by 30%. Automated functional testing achieving 80% code coverage and improved defect detection pre-production.
Lead Developer & Architect at MettaMate – India
December 1, 2023 - April 30, 2025Led remote team responsible for architecture, development, and deployment of a Matrimony and Dating platform using Java Spring Boot, React, PostgreSQL, Redis, Elasticsearch, Docker, Terraform, and Azure Kubernetes Service. Built AI/ML-powered recommendation engine with Transformer-based semantic tag generation for personalized matchmaking. Designed hybrid matchmaking system combining tag-based filtering with re-ranking algorithms using engagement signals creating scalable and personalized user matching.
Developer & AI Engineer at Logiq.Ai (APICA) – India
January 1, 2022 - April 30, 2023Built intelligent log monitoring platform integrating AI/ML with full-stack development, cloud infrastructure, and DevOps. Developed time-series forecasting and anomaly detection using LSTM, Transformer models, and clustering algorithms. Designed ML pipelines with AWS SageMaker for data and model versioning. Created microservices orchestrated with Kubernetes improving processing time by 25%. Developed dashboards using Flask, React, and Angular for real-time ML metrics. Automated deployments with Terraform and Helm supporting GitOps pipelines. Set up Prometheus and Grafana for centralized monitoring and alerting.
Fullstack & AI Engineer at AasPaaS Online Services - India
February 1, 2019 - January 31, 2022Delivered web and desktop applications with integrated AI/ML features for biotechnology and healthcare clients. Implemented NLP-driven document processing and identity management microservices improving data accuracy. Developed biotech inventory and calibration apps boosting experiment efficiency. Built 200+ REST APIs using Django and Spring Boot, optimized data processing by 50% with Redis cache and multithreading. Managed AWS deployments ensuring security and scalability. Automated CI/CD pipelines with Jenkins and Terraform. Secured microservices with AWS Cognito and IAM roles.
Software Engineer at First Citizens Bank - US
January 1, 2026 - PresentDesigned and developed a code-agnostic data pipeline scheduling platform to automate end-to-end data workflows across the organization. Built and maintained scalable services using Python and Java to support dynamic pipeline orchestration and execution. Leveraged Apache Airflow for workflow scheduling, monitoring, and dependency management of complex data pipelines. Deployed and managed containerized applications on OpenShift, ensuring high availability and scalability. Integrated Kafka for real-time data streaming and event-driven pipeline triggers. Implemented logging, monitoring, and alerting using Splunk to improve observability and reduce incident resolution time. Collaborated with business stakeholders to gather requirements, translate them into technical solutions, and deliver automation use cases.
Application Developer V at Bank of America - US
September 1, 2025 - December 31, 2025Contributed to an enterprise-wide cryptographic inventory platform to map the cryptographic footprint of applications, improving visibility into usage, risk, and compliance. Applied knowledge of PKI, TLS, IPsec, symmetric/asymmetric cryptography, assurance levels, and key lifecycles to assess and classify application cryptographic controls. Worked with HSMs and KMaaS concepts to track secure key storage, rotation, and cryptographic boundaries across systems. Supported PQC readiness assessments by identifying quantum-vulnerable algorithms and aiding migration planning. Built a cryptographic visibility dashboard using React, Spring Boot, and Oracle SQL to present cryptographic posture and risk insights. Developed secure REST APIs and data models to ingest, normalize, and expose cryptographic metadata at scale. Implemented role-based access control, secure data handling, and audit logging aligned with banking-grade security standards. Deployed cryptographic inventory services on Kubernete
Software Engineer at First Citizens Bank
January 1, 2026 - PresentDesigned and developed a code-agnostic data pipeline scheduling platform to automate end-to-end data workflows across the organization. Built and maintained scalable services using Python and Java to support dynamic pipeline orchestration and execution. Leveraged Apache Airflow for workflow scheduling, monitoring, and dependency management of complex data pipelines. Deployed and managed containerized applications on OpenShift, ensuring high availability and scalability. Integrated Kafka for real-time data streaming and event-driven pipeline triggers. Implemented logging, monitoring, and alerting using Splunk to improve observability and reduce incident resolution time. Collaborated with business stakeholders to gather requirements, translate them into technical solutions, and deliver automation use cases.
Application Developer V at Bank of America
September 1, 2025 - December 1, 2025Contributed to an enterprise cryptographic inventory platform to map the cryptographic footprint of applications, improving visibility into usage, risk, and compliance. Applied PKI, TLS, IPsec, symmetric/asymmetric cryptography, assurance levels, and key lifecycles to assess and classify cryptographic controls. Worked with HSMs and KMaaS concepts to track secure key storage, rotation, and cryptographic boundaries across systems. Supported PQC readiness assessments by identifying quantum-vulnerable algorithms and aiding migration planning. Built a cryptographic visibility dashboard using React, Spring Boot, and Oracle SQL. Developed secure REST APIs and data models to ingest, normalize, and expose cryptographic metadata at scale. Implemented RBAC, secure data handling, and audit logging. Deployed cryptographic services on Kubernetes for scalable, secure microservice operations.
Developer, Cloud & AI Engineer at Logiq.Ai (APICA)
January 1, 2022 - April 1, 2023Led ML/AI initiatives including time-series forecasting for system metrics (CPU, memory, IOPS) and anomaly detection using unsupervised methods. Designed ML workflows with AWS SageMaker and integrated with S3 for data/versioning and model retraining. Built scalable, event-driven microservices using Flask, GoLang, Celery, and gRPC, deployed on OpenShift. Implemented caching, lazy loading, and multithreading to optimize performance. Created dashboards to visualize ML outputs and real-time metrics. Automated deployments using Terraform and Helm, enabling GitOps-style workflows. Established monitoring with Prometheus, Grafana, and OpenShift Console for long-term metrics and alerts.
Fullstack & Cloud Infrastructure Engineer at AasPaaS Online Services
February 1, 2019 - January 1, 2022Full-stack and cloud engineering across frontend, backend, cloud, and AI layers. Built NLP-driven document processing (Wilco-Docx) using rule-based and ML techniques. Created ML-backed Django microservices for identity data quality and deduplication. Built cross-platform Electron-based desktop apps with React. Optimized Redis caching and multithreading to speed up data access. Deployed secure, scalable AWS infrastructure for production workloads. Implemented CI/CD pipelines and security IAM practices.
Education
Master Of Computer Science at Illinois Institute of Technology
January 1, 2015 - December 31, 2017Bachelor of Engineering at Osmania University, India
January 1, 2010 - December 31, 2014Master Of Computer Science at Illinois Institute of Technology
January 1, 2015 - December 31, 2017Bachelor of Engineering in Computer Science at Osmania University, India
January 1, 2010 - December 31, 2014Master of Computer Science at Illinois Institute of Technology
January 11, 2030 - April 29, 2026Bachelor of Engineering in Computer Science at Osmania University
January 11, 2030 - April 29, 2026Master of Computer Science at Illinois Institute of Technology
January 11, 2030 - June 11, 2026Bachelor of Engineering in Computer Science at Osmania University, India
January 11, 2030 - June 11, 2026Qualifications
AWS Solution Architect Professional
December 3, 2024 - December 3, 2027AWS Solution Architect Associate
October 8, 2024 - December 3, 2027Certified Kubernetes Administrator
March 10, 2024 - March 10, 2026AWS Solution Architect Professional
December 3, 2024 - December 3, 2027AWS Solution Architect Associate
October 8, 2024 - December 3, 2027Certified Kubernetes Administrator
March 10, 2024 - March 10, 2026AWS Solution Architect Professional
December 3, 2024 - December 3, 2027AWS Solution Architect Associate
October 8, 2024 - December 3, 2027Certified Kubernetes Administrator
March 10, 2024 - March 10, 2026AWS Solutions Architect – Professional
December 3, 2024 - December 3, 2027AWS Solutions Architect – Associate
October 8, 2024 - December 3, 2027Certified Kubernetes Administrator
March 10, 2024 - March 10, 2026AWS Solutions Architect – Professional
December 3, 2024 - December 3, 2027AWS Solutions Architect – Associate
October 8, 2024 - December 3, 2027Certified Kubernetes Administrator
March 10, 2024 - March 10, 2026Industry Experience
Software & Internet, Healthcare, Life Sciences, Retail, Professional Services, Financial Services, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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