08/30/2026 updated
100 % available
Data Scientist & Software Engineer | Python, Machine Learning & LLM Systems
Lucknow, India
Worldwide
B.Sc in Programming and Data ScienceAbout me
I am a Software Engineer and Data Scientist skilled in Python, SQL, machine learning, Generative AI, APIs, and data pipelines. I build production-ready systems that turn data and AI into practical business solutions.
Software Engineering & Backend Development
Python, FastAPI, REST API Development, Backend Development, API Integration, Modular Architecture, Application Development, Input Validation, Error Handling, Debugging, Automated Testing, Git
Machine Learning & Data Science
Machine Learning, Predictive Modeling, scikit-learn, XGBoost, Pandas, NumPy, Feature Engineering, Model Evaluation, Time-Series Forecasting, Classification, Anomaly Detection, Statistical Analysis
Generative AI & LLM Engineering
Generative AI, LLM Integration, OpenAI API, Anthropic API, Groq API, Prompt Engineering, RAG Pipelines, AI Agents, Agentic Workflows, Workflow Orchestration, Structured Output Validation
Data Engineering & SQL
SQL, PostgreSQL, ETL Pipelines, Data Pipelines, Data Transformation, Data Processing, CTEs, Window Functions, Query Optimization, Data Modeling, Data Validation, Data Quality
Cloud & Deployment
AWS, Docker, EC2, Lambda, Kubernetes, CI/CD Fundamentals, Render, Streamlit Cloud, Cloud Deployment, Environment-Based Configuration
Analytics & Business Intelligence
A/B Testing, Hypothesis Testing, Statistical Inference, Business Analytics, Data Visualization, Streamlit, Power BI, Tableau, KPI Analysis, Real-Time Analytics
Data Quality & Reliability
Schema Validation, Data Quality Frameworks, Anomaly Detection, API Response Validation, Error Handling, Logging, Health Checks, Retry Logic, Fault-Tolerant Data Ingestion, Monitoring
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentHindiNative speaker
Project history
Architected modular backend services for electricity price forecasting covering data ingestion, validation, feature engineering, model inference, trading signal generation, and PnL simulation. Integrated ENTSO-E and LLM APIs using structured prompt engineering to automatically generate trader summaries and actionable market insights.
Designed and deployed a production-ready FastAPI backend exposing REST APIs for customer analysis, scenario simulation, and real-time prediction through an interactive Streamlit application. Built a modular AI workflow combining machine learning inference, LLM provider abstraction, and structured prompt engineering for personalized retention recommendations.
Developed a modular Python application integrating live traffic, weather, and air quality data from multiple REST APIs. Designed automated data ingestion, preprocessing, caching, and alert pipelines. Built interactive monitoring dashboards with forecasting, anomaly detection, and geospatial visualization for multi-city operational insights.