Ramam A.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Bug triage and NLP-based classification

Real-time traffic analytics

Forecasting Domain Expertise

Top Data Types

Text

3D Sensor

Image

Top Task Types

Fine-tuning

Classification

Data Collection

Prompt + Response Writing (SFT)

Text Generation

Tracking

Freelancer Overview

Wildlife Species Classification on Real-World Imagery | Machine Learning and Pattern Recognition. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Microsoft Azure, PySpark, and scikit-learn. Education includes Bachelor of Technology, Plaksha University (2023) and Higher Secondary Certificate, Hillman Public School (2022). AI-training focus includes data types such as Computer Code, Programming, and Image and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

AI Engineering Intern | kaksha.ai (Jan 2026 - May 2026)

Prompt + Response Writing (SFT)Text Generation

Developed backend and frontend integrations to support tutorial creation within the Canvas ecosystem. Built real-time conversational capabilities in an agentic AI context by implementing context-aware chatbot functionality. Enhanced development workflows and ensured compatibility with existing test suites through code refactoring. • Refactored GitHub codebase to improve quality and streamline workflows • Implemented end-to-end tutorial creation APIs and Canvas frontend interfaces • Built memory-based context-aware agentic conversational chatbot using CAG and Streamlit • Maintained full test-suite compatibility while iterating on AI features

2026 - Present

Data Engineering Intern | Vibracoustic (Jun 2025 - Present)

OtherFine-tuning

Built ML pipelines and data modeling to support AI-powered durability/service-life analytics. Worked on scalable ETL and semantic modeling to create clean datasets used for downstream analytics and anomaly detection. Implemented automated validation, logging, and change detection to improve dataset reliability for model training and evaluation. • Designed durability data model for AI analysis • Expanded ETL pipelines in Microsoft Fabric & PySpark for NVH sensor telemetry into Delta Lake • Created semantic models and Power BI dashboards for real-time anomaly visualization • Automated Azure Data Factory pipelines with data validation and monitoring

2025 - Present

AI/ML Intern | Dixon IoT Lab (Jan 2026 - May 2026)

Other3D SensorData CollectionTracking

Designed a real-time traffic dashboard that includes live vehicle tracking and camera-feed-based data quality insights. Processed large-scale camera records to produce multiple visual analytics views identifying gaps, density, direction, trends, and speed. Implemented forecasting pipelines to generate predictive traffic insights using time-series methods. • Processed 12M+ camera records to support traffic analytics • Built forecasting using Simple Average, Facebook Prophet, and Google TimesFM • Developed a memory-based context-aware conversational chatbot using CAG and Streamlit • Produced dashboard visualizations for data gaps, density, direction, trends, and speed

2026 - 2026

Wildlife Species Classification on Real-World Imagery | Machine Learning and Pattern Recognition

ImageClassification

No description provided.

2025 - 2025

Machine Learning Intern | Bharti Airtel Foundation (Jun 2025 - Jul 2025)

Don't discloseTextFine-tuningClassification

Built AI/ML bug classification and duplicate bug detection using NLP features from bug reports to improve dataset quality and labeling outcomes. Implemented an ML-powered system architecture for storing and retrieving lifecycle logs to support downstream model training and evaluation. • Classified bug reports with scikit-learn and Gemini API • Reduced redundant entries via TF-IDF and cosine similarity • Integrated FastAPI and PostgreSQL for lifecycle log management • Used NLP-driven pipelines to support iterative improvement of labeled data

2025 - 2025

Education

Work History