# Sri Krishna

> Data Scientist in Kolkata, India. Data Scientist with 2+ years of experience applying machine learning, deep learning, and natural language processing to industrial, enterprise, and financial problems—from predictive models and representation learning to generative and agentic NLP systems.

This is the canonical AI-readable guide to Sri Krishna's professional portfolio. His primary identity is Data Scientist, with foundations in machine learning, deep learning, and NLP. Generative and agentic AI extend that NLP practice. Financial and market data are engineering problem domains, not his professional identity.

## Canonical machine-readable resources

- [Complete AI profile](https://resume-hazel-tau-84.vercel.app/ai-profile.json): Structured JSON covering experience, projects, skills, education, achievements, and impact.
- [Schema.org graph](https://resume-hazel-tau-84.vercel.app/profile.jsonld): JSON-LD describing the person, website, independent software systems, and professional projects.
- [Full text portfolio](https://resume-hazel-tau-84.vercel.app/llms-full.txt): Detailed plain-text context for retrieval and AI assistants.
- [Human-facing portfolio](https://resume-hazel-tau-84.vercel.app/): Main website.

## Professional focus

- Data science and statistical modelling
- Machine learning and time-series analysis
- Deep learning, autoencoders, representation learning, and transfer learning
- Natural language processing, transformers, embeddings, fine-tuning, LLM inference, and evaluation
- Generative and agentic NLP systems, including RAG, GraphRAG, retrieval, reranking, and structured outputs
- Enterprise AI deployment using AWS Bedrock, AgentCore MCP, Snowflake, and Palantir
- AI and ML engineering applied to financial and market data

## Independent portfolio

- **NETRA** (Main application; Production): The common application used to run the trading systems.
- **MAYA** (Shared AI system; Production): The reusable AI capabilities shared by the trading systems.
- **PINAKA** (AI-assisted trading system; Production): AI organizes the analysis; the trader makes the final decision.
- **TRISHUL** (ML and statistical trading system; In progress): Statistics, machine learning, and tested rules drive the process.

## Professional work

- **Voice-Driven Multi-Agent Well Intelligence** — Enterprise GenAI · Energy: Architected the Well Agent so field operators can ask natural-language questions and receive contextual answers about wells, equipment, and operations.
- **ESP Failure Prediction** — Predictive maintenance · Energy: Developing a failure-risk workflow for Electric Submersible Pumps using multivariate operational and sensor time-series data.
- **Gross Margin Prediction** — Forecasting · Business planning: Building a machine-learning workflow to estimate future gross margin from historical business and operational data.
- **COBOL Functional Documentation** — Generative AI · Banking: Engineered an LLM-assisted reverse-engineering workflow that turns undocumented COBOL applications into structured functional documentation.
- **Excel-to-React Migration** — Generative AI · Modernization: Developed a GenAI-assisted migration workflow that converts spreadsheet-driven processes into structured requirements for React applications.

## Experience

- **Software Engineer — AI & Machine Learning, LTIMindtree** — May 2024 — Present; Kolkata, India. Individual contributor across machine learning, deep learning, natural language processing, enterprise AI systems, application modernization, and cloud deployment.
- **Software Engineering Intern — IGNITE, LTIMindtree** — Aug 2023 — Oct 2023; Remote. Built cloud-based machine-learning prototypes and worked across data processing, model deployment, and enterprise AI application workflows using AWS.
- **Amazon ML Summer School, Amazon** — Selected participant; Selective learning program. Selected for advanced machine-learning training spanning deep learning, probabilistic graphical models, causal inference, and reinforcement learning.