Open to opportunities

Rohan Dhawan

@rohandhawan

Message

Aspiring AI/LLM and data science analyst focused on turning data into actionable insights.

India

Message

What I'm looking for

I’m looking for an AI/ML or data role where I can use Python and SQL to deliver reliable insights, automate data quality and preprocessing, and improve AI performance through rigorous evaluation and stakeholder-ready reporting.

I’m an aspiring AI/LLM and data science professional with an M.Tech background from Delhi Technological University. Detail oriented and analytically driven, I focus on data interpretation, problem solving, and business process analysis—translating requirements into actionable insights using Python and SQL.

In my current Analyst-AI/LLM role at Innodata (Remote), I evaluate and annotate LLM outputs to assess response quality, accuracy, and alignment with model guidelines. I collaborate with data science and engineering teams to identify patterns in model behavior, flag edge cases, and contribute structured feedback that improves training datasets, while ensuring consistency and factual correctness against evaluation rubrics.

Previously as a Data Associate (Intern) at Infotact Solutions (Remote), I analyzed structured and unstructured datasets using Python (Pandas, NumPy), identified data quality defects and root causes, and automated validation/preprocessing pipelines to improve reliability metrics. I’ve also built NLP and predictive modeling solutions—like LexiScan Auto (SpaCy + FastAPI + Docker) for extracting entities from legal contracts and FactoryGuard AI (XGBoost + SHAP) for real-time predictive maintenance risk scoring—along with SQL analytics projects that support data storytelling for business stakeholders.

Experience

Work history, roles, and key accomplishments

Current

AI/LLM Analyst

Current

Innodata

May 2026 - Present (1 month)

Evaluated and annotated LLM outputs to assess response quality, accuracy, and alignment with model guidelines. Collaborated with data science and engineering teams to identify model behavior patterns, flag edge cases, and provide structured feedback to improve training datasets.

LLM Evaluation Data Annotation NLP Edge Cases

Data Associate Intern

Infotact Solutions

Dec 2025 - Mar 2026 (3 months)

Analyzed structured and unstructured datasets in Python to identify data quality defects and root causes while automating validation and preprocessing pipelines to reduce manual cleaning. Built an NLP entity-extraction pipeline (SpaCy, FastAPI, Docker) and deployed an XGBoost+SHAP predictive maintenance API that returns real-time failure probability scores from IoT data.

Python (Pandas NumPy Data Quality Analysis data preprocessing fastAPI Docker XGBoost SHAP Predictive Maintenance

Communication Engineer

M-Techno Engineers & Contractors

Aug 2018 - Jun 2021 (2 years 10 months)

Produced detailed technical reports tracking project progress, compliance adherence, and delivery milestones using structured reporting workflows. Coordinated with clients, vendors, and cross-functional teams to translate operational requirements into data-driven insights and communicate findings to technical and non-technical stakeholders.

Technical Reporting Compliance Tracking Project Coordination Stakeholder Management Operational Analytics Data Insights Cross Functional Communication

Education

Degrees, certifications, and relevant coursework

Delhi Technological University (DTU)

M.Tech, Control & Instrumentation

2021 - 2024

Activities and societies: Teaching Assistant (2021–2023).

Completed an M.Tech in Control & Instrumentation at Delhi Technological University from 2021 to 2024. Served as a Teaching Assistant for the institute between 2021 and 2023.