💼 I’m a seasoned software engineer with 21 years of experience building scalable enterprise-grade software systems, microservices, and AI/ML-powered cloud solutions.
🛠️ Core Specialties:
- Enterprise Application Development using Java, Python, AI and the Spring ecosystem
- Modern Microservices Architecture & Cloud-Native Development
- Building resilient Data Pipelines & Real-time Data Engineering
- Performance Optimization, JVM Tuning, and Distributed System Design
📦 Tech Stack
| Area | Technologies |
|---|---|
| Languages | Java, Python, SQL |
| Frameworks /Tools | Spring Boot, Salesforce |
| Databases | Snowflake, MongoDB, MySQL, Redis |
| AI/ML | PyTorch, LangChain, LLaMAIndex, Pandas, HuggingFace, VectorDB |
| Cloud Platforms | AWS, GCP |
| Tools & DevOps | Docker, Kubernetes, Terraform, Git, Maven |
| Paradigms | Microservices, REST APIs, Distributed Systems, Cluster Computing |
🌟 Featured Projects
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SQL Genie – Natural Language to SQL for Snowflake
An AI-powered assistant that generates & executes Snowflake-compatible SQL from natural English — with high semantic accuracy.
👉 Code | 📖 Medium Post -
Artificial Intelligence (AI) Techniques
| Area | Project | Description | Code | Medium |
|---|---|---|---|---|
| Finetuning LLM | Snowflake example | How to fine-tune LLM in Snowflake using Cortex | Code | Blog |
| Finetuning LLM | PyTorch example | How to fine-tune LLM via PyTorch + PEFT/LoRA | Code | Blog |
| RAG | AxLens | AI-powered streamlit chat application that queries curated news from the aesthetics industry to provide meaningful insights. By using PDFs created from crawled web pages, and leveraging Snowflake’s scalable data infrastructure with state-of-the-art vector embeddings, AxLens enables users to ask natural language questions and receive relevant, intelligent responses — instantly | Code | Not Available (NA) |
| RAG | PlotMatic | AI-Driven Chart Generation with CSV & Plotly | Code | NA |
| RAG | Snowflake example | RAG demo using LLaMA-2 (70B Chat) on a synthetic Ergonomics dataset using vector search & cosine similarity | Code | NA |
| AI bot | AniMAGIC | Describe your animation idea in natural language, and AniMAGIC will interpret your intent, generate Python code using Manim, render the animation, and display the mp4 output | Code | NA |
| AI Agent | LangChain Example | A multi-tasking agent that performs-Topic Summarization, Question Generation, Key Term Extraction using Langchain | Code | NA |
| AI Voice Agent | TalkTonic | a sleek, modern AI voice assistant that combines the power of OpenAI's language models with an intuitive, beautiful user interface. Talk or type your questions and get intelligent responses through both text and speech | Code | NA |
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Machine Learning Algorithms
Real-world business problems solved using modern ML techniques: -
Real-Time Ingestion Pipeline
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Internals of LLMs & Transformers
From scratch implementations of: -
Software Architectures
A curated repo of architecture diagrams and tech blueprints for enterprise use cases
👉 Code
🧩 Currently Exploring:
- Transformer internals
- Attention mechanisms
🤝 Let’s Collaborate!
I’m open to:
- Freelance/Consulting roles in the AI/MLOps/Data Engineering space
- Collaborations on impactful open-source projects
- Fractional/Part-time CTO roles
🧵 Ask Me About:
Vector Databases · RAG · Apache Kafka · Apache Iceberg · Streamlit · Apache NiFi · Cloud Data Platforms · Snowflake · Apache Spark · LLMs
📫 Connect With Me
📊 GitHub Stats