- 🔭 I build GenAI & ML systems that are safe to ship - RAG with citations, guardrails & evals, end-to-end ML pipelines, and the Python tooling around them
- 📦 Published Peeklog on PyPI -
pip install peeklog - 💼 Lead Assistant Manager @ EXL Services - 4 YOE Enterprise AI (GenAI & Agentic AI POCs)
- 🎓 B.Tech, NIT Raipur '22
- 🏆 4x Super Squad Award @ EXL (2024 & 2025)
- 🥇 Global Rank #8 - HR Analytics, Analytics Vidhya
- 🎓 AWS ML Scholarship & Bertelsmann Technology Scholarship - Udacity
- 📚 3x Udacity Nanodegrees - DA, AI with Python, Predictive Analytics for Business
| Project | What it proves | Stack | Live |
|---|---|---|---|
| PulseRAG | Safe GenAI - answers only from indexed sources, with citations, prompt-injection + output-safety guardrails and DeepEval groundedness scoring | LlamaIndex · Qdrant · OpenAI · DeepEval · Streamlit | ▶ App |
| PhishGuard | Production MLOps - 6-stage pipeline, production gating, CI/CD | FastAPI · MLflow · Docker · MongoDB | ▶ App |
| Peeklog | Shipped Python tooling - streaming log analysis, statistical anomaly detection, one engine behind a CLI and a library | Typer · Rich · ReportLab · PyPI | 📦 PyPI |
| Customer Churn Prediction | Business-impact ML - cost-asymmetric modelling, SHAP, drift monitoring | scikit-learn · SHAP · pytest · SQLite | ▶ App |
| System Performance Analyzer | Full-stack ML app - real-time anomaly detection, JWT auth, PDF reports | Streamlit · Isolation Forest · Plotly | ▶ App |
| Thunderstorm Forecasting | Imbalanced classification - QDA + SMOTETomek on 40 yrs atmospheric data | scikit-learn · MLflow · imbalanced-learn | ▶ App |
def abhishek():
languages = ['Python', 'SQL']
genai = ['RAG', 'LlamaIndex', 'OpenAI API', 'DeepEval', 'LLM guardrails', 'Prompt engineering']
ml = ['Scikit-learn', 'XGBoost', 'SHAP', 'imbalanced-learn', 'Pandas', 'NumPy']
mlops = ['MLflow', 'DagsHub', 'Docker', 'GitHub Actions', 'pytest']
serving = ['FastAPI', 'Streamlit', 'Pydantic', 'Swagger UI']
packaging = ['PyPI', 'hatchling', 'Typer', 'Rich']
databases = ['Qdrant Cloud', 'MongoDB Atlas', 'SQLite', 'MySQL', 'MariaDB']
enterprise_ai = ['Appian', 'Generative AI', 'Agentic AI']
currently_learning = ['PyTorch', 'Fine-tuning']
return "Open to: GenAI Engineer | Applied AI Engineer | ML Engineer | Data Scientist"🏆 Achievements & Competitions
| Achievement | Details |
|---|---|
| 🥇 Global Rank #8 | HR Analytics - Analytics Vidhya (Jun 2023) |
| 🥇 Global Rank #67 | Power Plant Energy Prediction AI Challenge (Aug 2021) |
| 🏅 Global Rank #299 | AmExpert 2021 - ML Hackathon |
| 🏅 Global Rank #496 | Identify the Digits - MNIST Hackathon |
| ⭐ 5 Star Golden Badge | Python - HackerRank |
| ⭐ 5 Star Golden Badge | SQL - HackerRank |
| 🎓 AWS ML Scholarship | Udacity (2021) |
| 🎓 Bertelsmann Tech Scholarship | Udacity (2020) |
| 🏆 4x Super Squad Award | EXL Services (2024 & 2025) |
📊 GitHub Stats
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