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Mahesh Sahoo

@maheshsahoo

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AI Engineer building production LLM, data pipelines, and backend systems for real-world analytics.

India

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What I'm looking for

I’m looking for a role where I can build LLM/RAG and production data pipelines on AWS or cloud platforms, deliver backend APIs, and own end-to-end reliability—turning data ingestion, analytics, and AI integration into measurable decision support.

I’m an AI/ML & Data Engineer with 2+ years of experience building production-grade data pipelines, backend systems, and LLM-powered applications. I design scalable AWS-based data architectures and ETL/ELT workflows, then connect them to reliable AI-driven systems for real-world analytics and decision-making.

I’ve built 10+ production AI/ML and data systems across NLP, predictive analytics, and automation workflows, and delivered 6+ backend platforms and APIs supporting data pipelines and analytics. From RAG pipelines and embeddings-based retrieval to agentic workflows and backend services, I focus on high-performance, dependable engineering—plus I bring a research background with 4 AI/ML papers (2 Springer).

Experience

Work history, roles, and key accomplishments

AI Engineer

Vector ML Analytics

Jun 2025 - Sep 2025 (3 months)

Designed and deployed LLM-powered agentic workflows for financial analytics automation, building RAG pipelines with embeddings-based retrieval. Integrated scalable backend AI services with AWS, PostgreSQL, and APIs to improve production decision support.

LLM Embeddings AWS PostgreSQL API Integration NLP Backend Services

Data Engineer

Vector ML Analytics

Dec 2024 - Sep 2025 (9 months)

Built scalable AWS data pipelines using Glue, Lambda, Step Functions, and Athena to support analytics and AI-driven decision-making. Delivered end-to-end ETL/ELT workflows and backend services, optimizing pipeline processing latency by ~30%.

AWS Glue AWS Lambda Step Functions Athena ETL ELT SQL Data Pipelines Data Modeling Python PostgreSQL

Full Stack Engineer

Pinaca Technologies

Apr 2024 - May 2024 (1 month)

Developed scalable backend systems with Django and Flask and implemented RESTful APIs for data-driven applications using FastAPI. Integrated MS SQL Server and MongoDB, improving backend architecture and performance for production deployments.

Python Django Flask fastAPI REST APIs MS SQL Server MongoDB backend architecture Web Services

Machine Learning Engineer Intern

Refactor Academy

Aug 2022 - Jun 2023 (10 months)

Built supervised and unsupervised machine learning models, performing feature engineering, model tuning, and cross-validation. Delivered predictive analytics solutions including e-commerce customer analysis (98% R²) and mall customer segmentation via K-Means.

Supervised Learning Unsupervised Learning Feature Engineering Hyperparameter Tuning Cross Validation scikit learn Pandas NumPy Clustering Model Evaluation

Python Developer Intern

Skills Cafe

Feb 2020 - Jun 2020 (4 months)

Developed desktop applications using Python with Tkinter and OpenCV to support image processing and workflow automation. Built GUI-based tools to improve internal productivity and automate repetitive tasks.

Python Tkinter OpenCV Image Processing GUI Development Desktop Applications Automation Tools Productivity Software

Education

Degrees, certifications, and relevant coursework

Gandhi Institute for Technology

Master of Computer Applications (MCA), Computer Applications

2020 - 2022

Grade: CGPA: 8.51/10; GPA: 3.4/4.0

Completed Master of Computer Applications (MCA) at Gandhi Institute for Technology (BPUT University) from 2020 to 2022, achieving CGPA 8.51/10 (GPA 3.4/4.0).