---
title: "Sakib Alam - Voice AI Researcher in Bengaluru | Tal"
description: "Meet Sakib Alam, Latency @ GoodBox.ai | Building Next Generation Conversational AI Systems for Businesses | 4-time National Hackathon Finalist | Top 1% Keploy API Fellow based in Bengaluru. AI stack includes antigravity, codex, and notebooklm."
image: "https://tal.club/meet/sakib-alam/share-image"
---

# Sakib Alam on Tal

## Headline

Latency @ GoodBox\.ai \| Building Next Generation Conversational AI Systems for Businesses \| 4\-time National Hackathon Finalist \| Top 1% Keploy API Fellow

## About

As a highly motivated AI/ML enthusiast with a strong academic foundation and robust skills in web development, I am passionate about creating user\-friendly applications that deploy cutting\-edge AI/ML models\. My expertise spans across Machine Learning, Deep Learning, Natural Language Processing \(NLP\), and Computer Vision I thrive in collaborative environments, bringing strong leadership, communication, and creative problem\-solving abilities to every project\.

## Location

Bengaluru

## AI stack

antigravity

codex

notebooklm

ChatGPT

Pipecat

## Work experience

Voice AI Researcher at GoodBox\.ai, Sep 2026 \- Present · 1 mo, Bengaluru

ML Intern at NRGtech Services, Jul 2025 \- Jan 2026 · 7 mos, Hybrid, \- Built end\-to\-end YOLOv8 pipeline \(data preprocessing, annotation, training\) that achieved 95%\+ mAP across 10 component classes on 1\.6k\+ proprietary images\. \- Architected enterprise ML stack \(Next\.js frontend, FastAPI backend, Redis caching, PostgreSQL, AWS S3 storage, Linode Kubernetes\) with async processing, WebSocket real\-time updates, and secure API design\. \- Deployed Surya DocTR OCR \+ regex\-based ISO tag extraction for automated metadata collection, processing 640×640 P&ID tiles with 4–6 digit identifiers—enabled structured CSV generation at scale and reduced manual data entry by 60%\.

Contractual Intern at NRGtech Services, Dec 2024 \- Jun 2025 · 7 mos, Remote

Research Analyst at University of California, Berkeley, Haas School of Business, Jun 2022 \- Jul 2022 · 2 mos, Kolkata, West Bengal, India, \- Performed multivariate EDA on large\-scale hierarchical demographic datasets with 20\+ socio\-economic attributes per entity, applying correlation analysis, grouped aggregations, and pivot\-based exploration to derive novel insights\. \- Synthesized findings into data\-driven recommendations and executive presentations, translating demographic, literacy, and gender\-based patterns into strategic actions\.

Data Science Intern at GlobalCert, Apr 2022 \- Jun 2022 · 3 mos, Singapore, \- Completed intensive training on Python, NumPy, Pandas, Matplotlib, and statistical methods, applying them to solve weekly real\-world business and technical case studies\. \- Pinpointed meaningful insights from large data and metadata sources using Python and its mathematical libraries\. \- Developed a Tkinter\-based resume screening system leveraging NLP preprocessing and cosine similarity, enabling automated ranking of 10\+ resumes across multiple job roles against recruiter\-provided descriptions\.

## Education

Bachelor of Technology \- BTech, Computer Science Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar

High School Diploma, Physics, Chemistry, Mathematics, Computer Science, English, Physical Education, Indus Valley World School

[View the original profile](https://tal.club/meet/sakib-alam)

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