Summary
Results-driven Software Architect with 10+ years of expertise in Data Engineering, AI -Machine Learning, and CloudArchitecture.
Skills
Technical Skills
ProgrammingLanguages:Python,Java,SQL,Scala,Go,JavaScript,R
Cloud&Infrastructure:AWS(Lambda,S3,EC2,RDS,DynamoDB,Redshift,Glue,EMR,SageMaker,Bedrock), Azure (Data Factory, Synapse, Cosmos DB), GCP, Kubernetes, Docker, Terraform, CloudFormation
DataEngineering:Apache Spark, AWS Glue, Airflow, Kafka, ETL Pipeline Design, Database Optimization, DataWarehousing, Redis, Snowflake, dbt, Delta Lake, Apache Beam
Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, Computer Vision (OpenCV), NLP (Transformers, BERT, LLMs), MLOps, Reinforcement Learning, Generative AI, RAG, Vector Databases, HyperparameterOptimization, Feature Engineering
Frameworks & Tools:Spring Boot, Spring Security, Hibernate, FastAPI, Flask, Django, Vert.X, Elasticsearch, Kafka, RESTAPIs,GraphQL,Prometheus,Grafana,Git,Jenkins
Methodologies & Practices:Microservices Architecture, CI/CD, GitOps, Serverless Architecture, Cloud Security, FinOps, MLOps, System Design, Agile (Scrum/Kanban), Test-Driven Development
Projects Worked On
MontyCloud-montycloud.com
MicroservicesEvent-Driven Design:Led Spring Boot/Spring Cloud microservices with Kafka for inter-service events.
- Built custom serializers and idempotent handlers to guarantee reliable, exactly-once processing.
- Concurrency Thread Management:Developed a reusable Java library using ExecutorService and CompletableFuture for high-throughput, thread-based data import/export.
MOTADATA–motadata.com
Advanced the Network Monitoring System (NMS) by integrating AI capabilities for predictive analytics, downtime forecasting, and system optimization recommendations.
- Reduced network outages by 28%.
- Developed a real-time anomaly detection engine using machine learning algorithms to identify unusual network patterns and potential security threats.
Architected and implemented an enterprise-grade customer service automation platform using large language models (LLMs) and retrieval-augmented generation (RAG)
- Developed a knowledge retrieval system that integrates with company documentation to provide contextually accurate responses with 94% accuracy.
- Created fine-tuning pipeline for domain adaptation using enterprise-specific data while ensuring data privacy and compliance.
Experience
Senior Lead Engineer, MontyCloud (2020–Present)
Lead Software Engineer, Jiffy (2019 – 2020)
Senior Software Engineer, ZYMR (2016–2019)
Software Engineer, HighQ (2015–2016)
Software Engineer, Nxpert (2014 – 2015)
Certifications & Publications
Certifications:
- AWSCertifiedAIPractitioner(2021)
- AWSCertifiedCloudPractitioner(2022)
- TensorFlowDeveloperCertificate(2021)
Publications &Speaking:
- HackathonLead:GeneratingUIfromsketchonAWSArchitectureBlog(2018)
- ConferenceSpeaker:ScalableMachineLearningPipelinesonKubernetes
- WorkshopLead:BuildingEnterprise-GradeRAGApplications
Notable Achievements
- Recipient of the Innovation Excellence Award at ZYMR Systems (2022) for developing the cost-efficient cloud data architecture
- Contributing to hackathon project on Agentic framework held at IIT Hyderabad, 2025
- Led team that achieved 30% reduction in operational costs through advanced data engineering solutions
Education
Gujarat Technological University, Bachelor of Engineering in Computer Science (2010 – 2013)
Graduated with First Class with Distinction (7.98/10.0 GPA equivalent)
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