Open to opportunities

Anik Banerjee

@anikbanerjee

Full Stack Python Developer building scalable AI/ML web apps, data pipelines, and production-ready model evaluation systems.

India

Message

What I'm looking for

I’m looking for a team where I can build production-grade AI/ML and full-stack systems—owning model evaluation, data pipelines, and clean UI—while collaborating cross-functionally, writing well-documented code, and improving quality through rigorous testing.

I’m a Full Stack Python Developer with hands-on experience designing and deploying scalable web applications and data-driven platforms. I focus on production-quality AI/ML systems—especially end-to-end ML pipelines, computer vision workflows, and cloud-integrated backends.

In my current role as a Data Solution Analyst – AI/ML (Full Stack & Model Evaluation) at RT Network Solutions Pvt. Ltd., I designed AI/ML model evaluation pipelines for LLMs, multimodal systems, and computer vision applications. I built and maintained backend data processing services for 50K+ samples, evaluated 500–1000+ model responses weekly, and improved output quality by ~15–25% while reducing critical errors by ~20% through structured prompt and response failure-mode feedback.

I also support supervised fine-tuning and RLHF workflows with validated datasets (10K+ samples per cycle), ensuring >99% dataset consistency, integrity, and completeness. I contributed to computer vision workflows for autonomous driving by annotating and validating 20K+ image and video samples, improving object detection data quality.

Previously, I built a full-stack multi-page diagnostic application at CDAC using Streamlit and Django for real-time infrared thermal image analysis, integrating Python-based ML pipelines and automated PDF report generation. I optimized processing efficiency by 35%, increased clinician usability by 40%, engineered a synthetic infrared image generator with autoencoder neural networks (improving variability by 60% and generalization), and validated diagnostic region detection using SSIM/PSNR/Kolmogorov–Smirnov tests—then strengthened my approach further through roles in data quality and software testing, including 100% test coverage across critical modules.

Experience

Work history, roles, and key accomplishments

Current

Data Solution Analyst

Current

RT Network Solutions Pvt. Ltd.

Dec 2025 - Present (6 months)

Designed and maintained AI/ML model evaluation pipelines for LLMs, multimodal systems, and computer vision applications using Python-based workflows. Built and validated dataset processing for 50K+ samples, and improved model output quality by ~15–25% through weekly evaluation of 500–1000+ responses.

Python Django Flask LLM Evaluation Data Pipelines Computer Vision scikit learn AWS Prompt Engineering

Current

GNU/Linux Program Instructor

Current

Centre for Development of Advanced Computing (CDAC)

Oct 2024 - Present (1 year 8 months)

Instructed 200+ government officials and engineering students on Linux fundamentals, command-line operations, and LibreOffice productivity tools. Developed course curriculum and hands-on training materials to support practical learning and effective adoption.

Linux Command Line Training Delivery Curriculum Development Hands On Labs LibreOffice Technical Writing Educational Content

Data Quality Analyst

ARC Document Solutions India Private Limited

Sep 2025 - Dec 2025 (3 months)

Cleaned and standardized batch datasets into unified structured formats, converting files into CSV to support downstream processing workflows. Validated records using Excel VLOOKUP and maintained data integrity by coordinating corrections through multi-stage quality checks and AWS-hosted file reviews.

Data Cleaning Data Validation AWS Data Integrity SQL

AI & ML Research Intern

Centre for Development of Advanced Computing (CDAC)

Oct 2024 - Sep 2025 (11 months)

Built and deployed a full-stack Streamlit and Django application for real-time infrared thermal image analysis with automated PDF report generation. Improved processing efficiency by 35%, increased clinician usability by 40%, and expanded training data variability by 60% using an autoencoder-based synthetic image generator.

Python Streamlit Django OpenCV REST APIs Arduino Python Serial Pandas scikit learn

Software Test Engineer

STQC Directorate, Ministry of Electronics & IT (MeitY)

Jul 2024 - Aug 2024 (1 month)

Delivered 100% test coverage across three critical e-Auction platform modules through manual and regression testing. Designed and executed 200+ test cases using boundary value analysis and equivalence partitioning, reducing bug triage cycle time by 30% via streamlined defect reporting.

Manual Testing Regression Testing Testing Design Boundary Value Analysis Bug Reporting Software Testing

Data Analyst Intern

Vodafone Intelligent Solutions (VOIS)

Feb 2024 - Mar 2024 (1 month)

Built interactive Power BI dashboards for sales and KPI monitoring, and automated ETL workflows with real-time data refreshes to reduce manual reporting by 2 hours per day. Improved ETL pipeline performance by 30% using Power Query transformations, Excel VBA macros, and DAX data modeling.

Power BI DAX Power Query VBA ETL Data Visualization KPIs SQL Data Modeling Performance Optimization

Education

Degrees, certifications, and relevant coursework

MCKV Institute of Engineering

Bachelor of Technology (Computer Science & Engineering), Computer Science & Engineering (Data Science Specialization)

2020 - 2024

Completed a Bachelor of Technology in Computer Science & Engineering with a Data Science specialization from MCKV Institute of Engineering (Nov 2020–July 2024).