Software Engineer @ American Express | GenAI & LLM Specialist | Full-Stack Developer
I have extensive experience in the information technology and services industries, with a strong track record of contributing to the development of cutting-edge AI products 💻. I specialize in building production-ready GenAI applications, intelligent automation solutions, and scalable enterprise systems that transform how businesses interact with data and serve users.
Apart from my professional journey, I am a learner 📝 and enthusiastic to learn new tech. I believe you only grow when you learn.
Also, I love solving coding problems on LeetCode, HackerEarth, CodeChef, etc. As you can see I have few repos based on my LeetCode solutions and also Data Structure and Algorithm which you can follow. I write blogs as well on Medium.
- 🤖 Build production-ready GenAI applications using GPT-4, Claude, and custom LLMs
- 🏗️ Architect scalable microservices and web applications serving 100,000+ concurrent connections
- 🔍 Develop intelligent document understanding systems with 99%+ accuracy
- ⚡ Create real-time data processing pipelines using Kafka, RabbitMQ, and event-driven architectures
- 🎯 Implement RAG applications, semantic search, and vector embeddings
- 💼 Engineer enterprise-grade solutions with microservices architecture and cloud infrastructure
- 📊 Build NLP pipelines for automated business intelligence and data transformation
- 🔐 Design secure authentication systems with OAuth2, JWT, and role-based access control
Generative AI & Machine Learning
- Building intelligent automation solutions with GPT-4, Claude API, and LangChain
- Developing RAG applications and semantic search using vector databases
- Implementing prompt engineering, fine-tuning, and model optimization
- Creating document understanding systems processing 10,000+ documents daily
- Architecting AI-powered interview assessment platforms with real-time evaluation
- Working with LlamaIndex, Hugging Face Transformers, and custom NLP models
Backend & API Development
- Designing FastAPI, Flask, and Django microservices with 99.5%+ reliability
- Building RESTful APIs and GraphQL endpoints for enterprise applications
- Implementing event-driven architectures with Apache Kafka and RabbitMQ
- Creating serverless solutions using AWS Lambda and cloud functions
- Developing asynchronous processing pipelines with 70% performance improvement
- Working with Sockets, WebSockets for real-time communication
Cloud & DevOps
- Deploying containerized applications using Docker and AWS ECR
- Managing infrastructure on AWS (EC2, Lambda, SQS, S3, Bedrock, CloudWatch, SNS)
- Working with GCP services (Vertex AI, PaLM API, BigQuery)
- Experience with Azure OpenAI and Linode
- Implementing CI/CD pipelines with automated testing and zero-downtime releases
- Optimizing cloud costs while maintaining 99.9% availability
Data Engineering & Databases
- Architecting hybrid database solutions with MongoDB, PostgreSQL, MySQL, and DynamoDB
- Building vector-based retrieval systems using FAISS, ChromaDB, Pinecone, pgvector, and Weaviate
- Implementing Redis caching and Elasticsearch for high-performance search
- Optimizing SQL queries achieving 30x performance improvements
- Managing real-time data streaming and Apache Airflow workflows
- Working with GraphQL for efficient data querying
Full-Stack Development
- Creating responsive web applications with React.js, HTML, CSS, and Bootstrap
- Building both web and window-based applications
- Implementing WebSocket connections for real-time features
- Developing live dashboards and data visualization interfaces
- Ensuring accessibility standards (WCAG 2.1 AA) compliance
- Working with JavaScript/TypeScript for frontend development
Systems Programming & Performance
- Developing high-performance applications with C++, Go, and Python
- Implementing CUDA-based solutions for GPU acceleration
- Building real-time systems with sub-millisecond latency requirements
- Working with ARMv7 architecture
- Optimizing algorithms and data structures for performance
Expertise: OpenAI GPT-3.5/4, Claude, Anthropic APIs, Prompt Engineering, Chain-of-Thought, Few-shot Learning, Fine-tuning, Model Optimization, LangChain, LlamaIndex, Hugging Face Transformers, RAG Applications, Semantic Search, Vector Embeddings
Tools: FAISS, ChromaDB, Pinecone, pgvector, Weaviate, Elasticsearch with dense retrieval
Services: AWS (EC2, Lambda, SQS, Bedrock, S3, CloudWatch, SNS), GCP (Vertex AI, PaLM API, BigQuery), Azure OpenAI, Linode
Tech Stack: C++, WebSocket, CUDA, React.js
- Architected high-performance real-time cryptocurrency arbitrage detection system with C++ engine processing 10,000+ price updates per second across multiple exchanges
- Developed WebSocket bridge and live trading dashboard using React.js, enabling real-time market data visualization and automated trading decision support
- Implemented sophisticated arbitrage algorithms with sub-millisecond latency requirements, demonstrating advanced systems programming and financial technology expertise
Tech Stack: Python, TensorFlow, Deep Q-Learning
- Developed novel deep learning framework implementing Early Exit strategies in CNNs using Deep Q-Learning (DQN) for dynamic computational optimization
- Enhanced neural network efficiency by 40% reduction in inference time while maintaining 95%+ accuracy on CIFAR-10 image classification through intelligent exit point determination
- Published comprehensive research findings and implementation details on Medium, contributing to AI optimization knowledge base and demonstrating technical writing expertise
Tech Stack: Python
- Created a Python library for competitive programmers with comprehensive utilities and helper functions
- Published on PyPI with complete documentation and usage examples
- Open-source contribution helping developers solve algorithmic problems more efficiently
- 🌟 SPOT Award - Recognition for exceptional contribution in building and delivering AI requirements in accelerated timeframes
- ⚔️ LeetCode Knight - Achieved Knight status with 500+ Data Structures and Algorithms problems solved, demonstrating exceptional problem-solving skills
- 📚 Open Source Contributor - Created competitive programming Python library with comprehensive documentation published on PyPI
- ✍️ Technical Writer - Published technical articles on Medium covering AI/ML topics and software engineering best practices
- 📝 Continuous Learning - I believe you only grow when you learn. Always exploring new technologies and best practices
- 💡 Problem Solving - Love tackling coding challenges on LeetCode, HackerRank, CodeChef, and HackerEarth
- ✍️ Knowledge Sharing - Writing technical articles on Medium to help the developer community
- 🚀 Building Impact - Creating AI solutions that transform how businesses operate and serve users
- 🎯 Portfolio Website: shikhapandey.me
- ✍️ Read My Thoughts: Check out my tech articles on Medium
- 💬 Ask Me Anything: I'm always happy to help! 😊
- 📬 How to Reach Me: Let's get in touch!
- 💼 Open to discussing AI/ML projects, GenAI applications, and scalable system architecture
- 🤝 Happy to help with technical challenges and career guidance
- 🧠 Practicing Algorithms: I enjoy tackling coding challenges on LeetCode and HackerRank to enhance my problem-solving skills
- 📝 Python Library: I created a python library for competitive programmers - check out the documentation
⭐️ If you find my work useful, consider starring the repositories!

