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Debjit Laha

@debjitlaha

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I’m an AI/ML-focused engineer who builds data pipelines, research models, and automation.

India

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What I'm looking for

I’m looking for a team where I can build practical ML/data solutions, ship automated pipelines, and grow through hands-on work, with strong experimentation, clear feedback, and measurable impact.

I’ve worked across AI operations, machine learning research, and market research, turning messy inputs into reliable outputs. At Mezink, I built a Selenium-based Instagram reel scraper, created a Gemini-powered tag extractor, and automated 70% of daily campaign tracking with Google Apps Script—then synced results into structured sheets and a backend via an n8n pipeline to Postgres.

In research roles, I investigated anomaly detection in the energy sector, validated and tuned models across diverse datasets, and implemented ECOD and COPOD on WECs Sydney data (achieving precision scores of 0.81 and 0.56). I also enjoy rigorous analysis, my FPI thesis reduced RMSE by 75% by evaluating ARIMA, LSTM, and XGBoost—plus I’ve built an end-to-end Streamlit app with Google Gemini to analyze financial documents and deploy it on Hugging Face Spaces.

Experience

Work history, roles, and key accomplishments

AI Operations Intern

Mezink

May 2025 - Jun 2025 (1 month)

Built an Instagram reel scraper with Selenium and deployed it as an API, then developed a Gemini-powered tag extractor for user profiles and captions. Automated 70% of daily campaign tracking via a Google Apps Script UI and synced structured updates from Google Sheets to PostgreSQL using an n8n pipeline.

Selenium Web Scraping API Development Google Apps Script N8n Data Pipelines PostgreSQL Automation Campaign Tracking

Machine Learning Research Intern

Deakin University

Mar 2024 - Jun 2024 (3 months)

Conducted anomaly detection research in the energy sector by reviewing literature and validating models on diverse datasets. Implemented ECOD and COPOD on WECs Sydney data, achieving precision scores of 0.81 and 0.56 on test data.

Anomaly Detection Machine Learning Model Validation Hyperparameter Tuning Precision Evaluation

Market Research Intern

Resurgent Agric

Dec 2022 - Jun 2024 (1 year 6 months)

Analyzed G20 reports for Germany, France, Brazil, and Australia to identify agrifood and agriculture opportunities, including potential international company tie-ups. Researched and authored 10+ reports in the agrifood technology domain with a focus on precision agriculture project opportunities.

Market Research G20 Analysis Trend Insights Synthesis