Lakshay G.

I am a Senior Software Engineer with expertise in Data Science and Data Engineering with over 6 years of experience specializing in the "system choreography" required to build resilient, autonomous, data-driven platforms. My expertise lies at the intersection of high-concurrency backend architecture and production-grade AI integration, helping enterprises move from static data models to reactive, agentic systems that handle millions of requests with sub-100ms latency. I architect data-driven backends that are not just scalable, but "intelligent by design." By combining serverless-first infrastructure with advanced retrieval patterns, I ensure your AI solutions are faithful, verifiable, and cost-optimized for the current cloud landscape. SERVICES ▻ Machine Learning & AI Engineering: Building Agentic RAG pipelines and autonomous workflows using LangGraph and LLM orchestration, as well as production-grade Regression/Classification models. ▻ Data Engineering & Streaming: Designing real-time, event-driven pipelines, Change Data Capture (CDC) architectures, and data lakes for high-throughput enterprise systems. ▻ High-Concurrency Backend: Developing async-first APIs and distributed microservices that prioritize fault tolerance, peak-load performance, and low-latency execution. ▻ Cloud Infrastructure & DevOps: Provisioning serverless-first, "Zero-Trust" environments on AWS and Azure using Infrastructure as Code (IaC) to ensure rapid, secure deployments. ▻ System Evaluation & LLMOps: Implementing RAGAS, continuous evaluation frameworks, and robust observability stacks (OpenTelemetry, Prometheus) to guarantee production reliability. TECHNOLOGY AND STACK ⚙️ Core languages - Python, C++, Java ⚙️ Backend & APIs: FastAPI, Django, Spring Boot ⚙️ Data & Big Data - Apache Airflow, Kafka, Snowflake, Databricks, DBT, AWS Glue ⚙️ SQL/NoSQL & Vector DBs: MySQL, PostgreSQL, Google BigQuery, MongoDB, DynamoDB, Redis, ChromaDB / Pinecone / Milvus (Caps lock/Add your preferred Vector DB) ⚙️ Data Analysis and Machine Learning: Pandas, NumPy, Dask, SciPy, OpenCV, TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, spaCy, LangChain, LangGraph ⚙️ Cloud & DevOps - AWS (EC2, EMR, S3, Lambda, Redshift, Kinesis, SageMaker, StepFunctions), Azure (Functions, Durable Functions), GCP (Pub/Sub, Cloud Run), Terraform / CloudFormation I advocate for a "Modular Monolith First" approach, leveraging Domain-Driven Design (DDD) to ensure clean service boundaries are established before executing full microservice decomposition. Let’s discuss how I can bring architectural excellence, cost optimization, and intelligent automation to your next project.