---
title: "Aryanil D. - AI/ML Engineer in Bengaluru | Tal"
description: "Meet Aryanil D., AI/ML Engineer | MLE Consultant | AI Annotator | RLHF Expert | Workflow Automation | AI agents based in Bengaluru. AI stack includes claude code, hugging face, and kiro. Explore public work links including github, medium, and youtube.com."
image: "https://tal.club/meet/aryanil/share-image"
---

# Aryanil D\. on Tal

## Headline

AI/ML Engineer \| MLE Consultant \| AI Annotator \| RLHF Expert \| Workflow Automation \| AI agents

## About

Hello, I'm Aryanil Dey\. Thank you for visiting my profile, if you are in a hurry, you are in the right section\. I’ve worked across healthcare and SaaS, taking models from messy raw data to monitored production APIs: improving clinical ROC‑AUC from 0\.76→0\.88, reducing false negatives, cutting p95 latency from 450 ms→180 ms, and stabilizing ETL pipelines to 99% success so downstream analytics and products always have trustworthy signals\. I also design AI infrastructure around MLflow/DVC, experiment tracking, drift monitoring, and rollback playbooks so models stay robust after deployment\. On the GenAI side, I work on LLM powered tools, RLHF style evaluation, and AI annotation probing model behavior, designing rubrics, and turning those insights into better prompts, datasets, and guardrails\. I co‑authored “Lung cancer type prediction using LightGBM machine learning model” and write about topics like the evolution of language representation \(from BoW to GPT\) and search‑engine system design\. Toolbox: Languages: Python, R, SQL, SAS, HTML, Git Machine & Deep Learning: supervised learning, NLP, time series, CNN/RNN/LSTM, autoencoders, GANs, model calibration, SHAP, imbalanced learning AI Infrastructure & MLOps: Pandas, NumPy, scikit‑learn, XGBoost, CatBoost, MLflow, DVC, REST APIs, microservices, Docker, testing/monitoring pipelines Cloud & Frameworks: Flask, Django, AWS EC2, AWS S3, Amazon SageMaker, Amazon Bedrock Analytics & Visualization: Power BI, Excel, Plotly, matplotlib, Seaborn; experiment design, A/B testing, forecasting Beyond Data: I love exploring new places, music, cooking, and cricket\. A cricket fan through and through, I’ve also developed a knack for sports analysis\. I’m equally passionate about pop culture from movies to comics and always find ways to blend creativity into my work\. 🤝 Let’s Collaborate: If you share a passion for data or want to collaborate on data\-driven projects, feel free to reach out\!

## Location

Bengaluru

## AI stack

claude code

hugging face

kiro

langchain

perplexity

Amazon Q Developer

## Work experience

AI/ML Engineer at Biodesign Innovation Labs, Nov 2024 \- Present · 1 yr 10 mos, Bengaluru, Karnataka, India

RLHF Expert at Invisible Technologies, Apr 2026 \- Jun 2026 · 3 mos, Training foundational model on data\-driven insights and evaluating the models response on human reasoning and business operations and guardrails\.

Machine Learning Specialist at Invisible Technologies, Dec 2025 \- Mar 2026 · 4 mos, Solving applied ML tasks: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflows\. Evaluate scientific writing: compare research abstracts and introductions using review rubrics \(e\.g\., NeurIPS guidelines\) for clarity, correctness, and impact\. Debug advanced model behavior : probe LLMs on optimization, fairness, regularization, transformers, and applied NLP documenting failure modes\.

Data Science With GEN AI at Innomatics Research Labs, Sep 2024 \- Nov 2024 · 3 mos, Hyderabad, Telangana, India

Data Management Consultant at Sal, Aug 2024 \- Sep 2024 · 2 mos, On\-site

Data Analyst at Sal, Apr 2024 \- Aug 2024 · 5 mos, Hybrid

Machine Learning Engineer at Social\+, Dec 2023 \- Mar 2024 · 4 mos, Greater Kolkata Area, Shipped NLP tone/sentiment classifier on 50k labeled tweets using scikit‐learn/XGBoost, achieving 92\.4% accuracy and macro‐F1 0\.90; reduced manual moderation workload \~40%\. Implemented Selenium \+ API ingestion; increased data throughput 3\.2× and reduced labeling cycle time 25% via retry/backoff and schema checks\. Packaged model as a REST service with telemetry and A/B hooks, accelerating feedback loops for iteration\.

## Education

Master's degree, Data Science and Analytics, Jain \(Deemed\-to\-be University\)

Biotechnology, Bioinformatics, Garden City University

## Public links

- github: https://github\.com/AryanilAD
- medium: https://medium\.com/@aryanilofficial26
- youtube\.com: https://youtube\.com/@aryanildey

[View the original profile](https://tal.club/meet/aryanil)

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