Cloud & AI Engineer | Backend Systems | Production AI Products
🎯 Check out my Portfolio!
I design, build, and operate production-grade backend systems and AI-powered products, with hands-on experience across cloud infrastructure, scalable APIs, and data-driven pipelines. I've owned features end-to-end - from system design and implementation to deployment, monitoring, and iteration in real production environments.
▸ Design and ship backend services using FastAPI, Docker, and AWS
▸ Build AI-powered features using LLMs, RAG pipelines, embeddings, and APIs
▸ Design and operate cloud-backed systems (EC2, S3, IAM, SES) with security and reliability in mind
▸ Own production workflows CI/CD, environment configuration, debugging, and monitoring
▸ Translate ambiguous requirements into reliable, shipped systems
Core Concepts: Request lifecycle · Pagination · Filtering · Rate limiting · Idempotency · API versioning · Webhook ingestion
Infrastructure Concepts: IAM least-privilege policies · Environment-based configuration · Secrets management · Reverse proxy & load routing · Multi-tenant architectures · Cost-aware design
Operational Practices: Retries · Timeouts · Graceful failures · Zero-downtime deployments · Rollbacks
ML System Concerns: Latency optimization · Token cost control · Model evaluation · Data preprocessing
Frontend Focus: Server-side rendering (SSR) & static generation (SSG) · API-driven UIs & dashboard interfaces · Authentication-aware frontend flows · Performance-focused UI design
Nov 2025 – Jan 2026 | Mumbai, India
▸ Owned 100% of application-layer development for a no-code email campaign SaaS
▸ Designed and shipped containerized FastAPI services for campaigns, scheduling, contact ingestion, and analytics
▸ Built event-driven tracking pipelines for email opens, clicks, bounces, and replies
▸ Integrated LLM-powered features (email drafting, personalization, embeddings, RAG), optimized for latency and cost
▸ Configured AWS infrastructure (EC2, S3, IAM, SES, SES v2) for production usage
▸ Implemented CI/CD pipelines using GitHub Actions and Docker
▸ Debugged cross-system issues across backend services, email infrastructure, and cloud resources
Focus: reliability, scalability, and shipping systems that work in production
Natural Language → SQL assistant that lets users query a database in plain English
- Tech Stack: Python, FastAPI, Gemini API, SQL, RAG, Vector DB (Embeddings)
- Key Features: NL-to-SQL translation, database querying, conversational interface
- Utility: Simplifies complex database interactions for non-technical users
🔬 DermAnalyzer.
A computer vision project designed to detect skin diseases using deep learning
- Tech Stack: Python, TensorFlow/Keras, OpenCV, Computer Vision
- Key Features: Image preprocessing, CNN architecture, disease classification
- Impact: Assists in early detection of various skin conditions through AI-powered analysis
Smart recipe generator that creates personalized recipes based on ingredients available in your fridge
- Tech Stack: Python, NLP, Machine Learning, Recipe APIs
- Key Features: Ingredient recognition, recipe recommendation, nutritional analysis
- Innovation: Reduces food waste by suggesting creative recipes from available ingredients
Smart emoji assistant powered by NLP and Google Gemini API for contextual emoji suggestions
- Tech Stack: Python, NLP, Google Gemini API, Natural Language Processing
- Key Features: Context understanding, intelligent emoji recommendations, API integration
- Enhances: Digital marketing and communication through AI-driven emoji selection
Machine learning model to predict Formula 1 race winners using historical data and racing analytics
- Tech Stack: Python, Pandas, Scikit-learn, Data Analysis
- Key Features: Historical race data analysis, driver performance metrics, predictive modeling
- Accuracy: Leverages multiple racing variables to forecast race outcomes
- Final Year Project: DermAnalyzer – AI-powered skin disease detection system
- Relevant Coursework: Machine Learning, Statistics, Database Management, Data Mining
- Academic Achievement: Graduated with distinction
- Research Interest: Computer vision and business intelligence
- 📱 Portfolio
- 💬 Chat-based Interactive Portfolio
- 📧 Email : nirvaanlagishetty@gmail.com
▸ Designing multi-tenant email systems using AWS SES v2
▸ Writing least-privilege IAM policies for production environments
▸ Improving NGINX performance tuning and reverse proxy setups
▸ Building more production-grade AI tooling
- 🥙 Professional Shawarma taste-tester (self-appointed, highly qualified)
- 📚 Can spoil your favorite manhwa faster than your internet can buffer.
- 🎮 Soulslike games expert - mostly in dying creatively.
- ⚽ My football tactics dominate… until they leave FIFA and meet reality.