Aditya Sreeramoju

Skills

Python, FastAPI, Django, Flask, REST APIs, GraphQL, Microservices, Async Programming, SQLAlchemy, Pydantic, PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, Celery, OAuth2, OIDC, JWT, JavaScript, TypeScript, React, Next.js, HTML5, CSS3, Redux, Tailwind CSS, WebSockets, Machine Learning, Deep Learning, NLP, Generative AI, LLMs, RAG, Agentic AI, AI Agents, Prompt Engineering, Fine-Tuning, Embeddings, Vector Search, Semantic Search, Hybrid Search, Retrieval Tuning, Query Rewriting, Query Interpretation, Model Evaluation, Model Testing, Feature Engineering, PyTorch, TensorFlow, Scikit-learn, Hugging Face, OpenAI, Azure OpenAI, Anthropic, Amazon Bedrock, Amazon SageMaker, LangChain, LlamaIndex, FAISS, Pinecone, Milvus, pgvector, Elasticsearch, OpenSearch, Vector Databases, Document Processing, Chunking Strategies, AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, GitHub Actions, Jenkins, AWS Lambda, ECS, EKS, S3, RDS, EC2, CloudWatch, IAM, Apache Spark, PySpark, Databricks, ETL, ELT, Data Pipelines, Apache Airflow, Pandas, NumPy, SQL, Data Validation, Data Quality, Batch Processing, Streaming Processing, System Design, Software Architecture, Distributed Systems, Event-Driven Architecture, Scalable API Design, Cloud Architecture, AI/ML Architecture, RAG Architecture, Security Architecture, Performance Optimization, Observability, Technical Leadership, Code Reviews, Design Documentation, Mentoring, Stakeholder Collaboration, PyTest, Unit Testing, Integration Testing, End-to-End Testing, API Testing, Load Testing, Test Automation

About

Leveraged 10+ years of experience building scalable Python, AI/ML, GenAI, and cloud-native solutions using Golang, Node.js, Advanced SQL, Neo4j, Camunda, Power Automate, Liquibase, AWS Glue, Snowflake, S3, PySpark, Kafka, Databricks, Pulumi, Terraform, Docker, Kubernetes, Jenkins, GitHub Actions, and GitLab CI/CD, delivering enterprise APIs, data pipelines, workflow automation, and production AI platforms.
Expertise in Python, Django, Flask, FastAPI, REST APIs, GraphQL, SQLAlchemy, ORM, Pydantic, asynchronous programming, microservices, WebSockets, Celery, API Gateway, JWT, OAuth, SAML, RBAC, API versioning, and scalable backend architecture for enterprise applications.
Experience developing AI/ML solutions using Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, NumPy, Pandas, PySpark, Hugging Face, feature engineering, model training/evaluation, optimization, deployment, MLOps, predictive analytics, NLP, computer vision, and deep learning.
Expertise in Gen AI, LLMs, RAG, LangChain, embeddings, vector search, prompt engineering, Agentic AI, AutoGen, Semantic Kernel, Agent SDKs, OpenAI APIs, Claude, Amazon Bedrock, tool/function calling, guardrails, AI assistants, chatbots, and intelligent enterprise automation.
Experience designing data engineering and lakehouse platforms using Databricks, Delta Lake, Delta Tables, Unity Catalog, Apache Spark, PySpark, Kafka, ETL, AWS Glue, Snowflake, Amazon S3, partitioning, joins, window functions, Spark SQL, and distributed analytics.
Expertise across AWS, Azure, and GCP, implementing AWS Lambda, API Gateway, IAM, DynamoDB, Aurora, RDS, SOAP, SQS, SNS, KMS, VPC, ALB/ELB, Route 53, Azure Databricks, GKE, AKS, serverless applications, cloud-native architectures, and secure AI/ML deployments.
Experience with PostgreSQL, MySQL, Oracle, MongoDB, Redis, DynamoDB, Aurora, RDS, Snowflake, Neo4j, Graph Databases, Cypher, including schema design, normalization, indexing, transactions, aggregation, caching, replication, query optimization, and database performance tuning.
Expertise in implementing Docker, Kubernetes, Terraform, Pulumi, CloudFormation, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket, AWS CodePipeline, Git, infrastructure as code, container orchestration, automated deployments, release management, and DevSecOps practices.
Experience building secure enterprise applications using AWS, Azure, and GCP IAM, OAuth 2.0, OpenID Connect, SAML, JWT, RBAC, encryption, secrets management, certificate-based security, HIPAA, PHI, PII, PCI DSS, audit logging, access policies, and secure API architectures.
Expertise in MLOps and production AI/ML pipelines covering data ingestion, preprocessing, feature engineering, experiment tracking, MLflow, model registry, serialization, deployment, model versioning, CI/CD, Kubernetes, monitoring, drift detection, and continuous model improvement.
Experience developing event-driven and distributed architectures using Kafka, RabbitMQ, AWS SQS/SNS, Lambda, asynchronous Python, producers/consumers, topics, dead-letter queues, idempotency, fault tolerance, CQRS, caching, load balancing, and real-time processing.
Expertise in testing and production reliability using PyTest, unittest, mocking, TDD, integration/API testing, SonarQube, linting, static analysis, Prometheus, Grafana, Datadog, Splunk, CloudWatch, Azure Monitor, logging, alerting, dashboards, SLA monitoring, RCA, and capacity analysis.
Experience leading engineering teams through architecture and system design, Agile/Scrum, and stakeholder collaboration, integrating React.js, AngularJS, TypeScript, Node.js, Vue.js, Camunda 7/8, HL7 ADT, FHIR, RCM, claims workflows, and enterprise business-process automation.
Experience developing high-performance services using Golang, Node.js, Rust, Python asyncio, multithreading, multiprocessing, Celery, Redis, RabbitMQ, Kafka, and WebSockets, building concurrent APIs, event-driven services, real-time integrations, and scalable enterprise microservices.
Expertise integrating React.js, AngularJS, Vue.js, TypeScript, Node.js, GraphQL, OpenAPI, Swagger, SQLAlchemy, Pydantic, REST APIs, API Gateway, OAuth, and JWT with Python backend platforms, implementing secure API contracts, reusable components, and scalable service integrations.
Experience integrating AI/ML and GenAI capabilities with Python backend services using LLMs, RAG, LangChain, embeddings, vector search, OpenAI APIs, Amazon Bedrock, and Agentic AI, delivering intelligent APIs, conversational applications, and enterprise automation.
Experience implementing cloud-native and DevOps solutions using Pulumi, Terraform, CloudFormation, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket, AWS Code Pipeline, and PagerDuty, CI/CD, deployments, incident management, monitoring, and production operations.
Expertise in implementing enterprise integrations and automation using Liquibase, Power Automate, Camunda 7/8, Neo4j, Graph Databases, Cypher, Advanced SQL, AWS Glue, Snowflake, S3, Light LLM, and Stardust, ETL, data engineering, and AI-enabled enterprise processes.
Expertise in advanced Python engineering including OOP, functional programming, decorators, generators, context managers, multithreading, multiprocessing, asyncio, exception handling, package management, SOLID principles, clean architecture, and reusable enterprise components.
Experience implementing RAG and NLP/deep-learning systems with document ingestion, chunking, metadata enrichment, embeddings, vector databases, similarity/hybrid search, reranking, Transformers, semantic search, sequence models, and domain-specific language applications.
Expertise in AI-assisted software development using GitHub Copilot, AI coding assistants, autonomous coding agents, prompt-driven development, code generation, automated refactoring, test generation, and AI-enabled software engineering workflows.