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Machine Learning Engineer - MLOps & Forecasting

Location:
Bengaluru, Karnataka, India
Salary:
1200000
Posted:
October 31, 2026

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Resume:

UTKARSH TRIPATHI

Bengaluru, Karnataka

# **************@*****.*** +91-722******* ï linkedin § github Portfolio Professional Summary

Machine Learning Engineer with experience building production-ready AI solutions, scalable backend services, analytical dashboards, and end-to-end ML pipelines. Skilled in Python, SQL, Django, FastAPI, PostgreSQL, MLflow, XGBoost, Docker, and feature engineering. Experienced in model optimization, time-series forecasting, data analytics, experiment tracking, and deploying business-focused ML solutions. Passionate about Generative AI, LLMs, MLOps, and Data Science.

Education

Lakshmi Narain College of Technology 2021–2025

B.Tech in Artificial Intelligence & Machine Learning (CGPA: 7.71) Bhopal Experience

ADA Global Dec 2025 – Present

Machine Learning Engineer Bengaluru

– Developed production ML pipelines for demand forecasting, buyer prediction, and business analytics.

– Built backend APIs using Django and FastAPI for AI-driven applications.

– Designed optimized PostgreSQL queries powering analytical dashboards.

– Integrated MLflow for experiment tracking, model versioning, and reproducibility.

– Performed feature engineering using lag, rolling, cyclical, and encoded features.

– Optimized Gradient Boosting and XGBoost models with hyperparameter tuning.

– Built interactive business dashboards using Plotly and Matplotlib.

– Worked with Docker, Git, Bitbucket, Linux, and production deployment workflows. Sunrise Mentors Pvt. Ltd. Feb 2023 – May 2023

Teaching Assistant Intern Remote

– Mentored students in Python, Java, Data Structures, Algorithms, and OOP concepts.

– Resolved coding doubts, reviewed assignments, and guided interview preparation.

– Helped learners improve debugging, logical thinking, and programming fundamentals. Unified Mentor Mar 2024 – May 2024

Data Analytics Intern Remote

– Performed data cleaning, preprocessing, exploratory analysis, and visualization using Python and SQL.

– Built analytical reports and dashboards to identify trends and business insights.

– Worked with Pandas, NumPy, Matplotlib, and PostgreSQL datasets. Projects

Voucher Buyer Prediction Python, XGBoost, MLflow

– Developed a production-ready model to predict voucher buyer conversion using advanced feature engineering.

– Implemented MLflow experiment tracking and hyperparameter optimization. Demand Forecasting System Python, Time Series, XGBoost

– Built a demand forecasting model using historical sales, discount, and seasonal features.

– Improved prediction quality through ensemble learning and feature engineering. AI Signal Platform Django, PostgreSQL, Plotly

– Developed analytical dashboards for product, advertising, and revenue performance.

– Designed high-performance SQL reporting queries for business intelligence. AI WhatsApp Assistant Python, FastAPI, WhatsApp Business API, LLMs

– Developed an AI-powered WhatsApp chatbot using the WhatsApp Business API and FastAPI to automate customer interactions.

– Implemented secure webhook verification, message handling, and API integrations for real-time communication.

– Integrated Large Language Models (LLMs) to generate context-aware responses and improve conversational capabilities.

– Designed a scalable backend architecture with REST APIs, logging, and environment-based configuration for deployment. Damage Prediction by Bird Strikes at Airplanes Python, Machine Learning, Data Analytics

– Analyzed bird-strike, wildlife, airport geography, and flight-phase datasets to identify operational risk patterns.

– Built predictive models estimating bird-strike risk across airports and flight phases to support preventive planning. Technical Skills

• Languages: Python, SQL, Java

• Machine Learning: Scikit-Learn, XGBoost, Gradient Boosting, Random Forest, Feature Engineering, Time Series Forecasting, MLflow, Hyperparameter Tuning

• Backend: Django, FastAPI, Flask, REST APIs

• Databases: PostgreSQL, MySQL

• Libraries: Pandas, NumPy, Matplotlib, Plotly, etc

• Tools: Git, Bitbucket, Linux, DBeaver, VS Code, Cursor

• AI: LLMs, Prompt Engineering, Ollama, MLOps

Certifications

• Python Excellence Certificate – Coding Ninjas

• Java Excellence Certificate – Coding Ninjas

• Web Development Certification – Coding Ninjas

• Teaching Assistant Internship Certificate – Sunrise Mentors Pvt. Ltd. Achievements

• Ranked among the Top 0.5% Math Coders on Naukri.

• Built multiple production-grade ML solutions for forecasting, prediction, and analytics.

• Developed scalable backend services and optimized SQL reporting pipelines.



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