Sakib Alam profile photo 1 on Tal

Sakib Alam

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

Bengaluru

1+ year of work experience

GoodBox.ai
Sep 20261 moPresent

Bengaluru

NRGtech Services
Jul 20257 mosJan 2026

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%.
NRGtech Services
Dec 20247 mosJun 2025

Remote

University of California, Berkeley, Haas School of Business
Jun 20222 mosJul 2022

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.
GlobalCert
Apr 20223 mosJun 2022

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.

Sakib’s AI Stack

antigravity
antigravity
codex
codex
notebooklm
notebooklm
ChatGPT
ChatGPT
Pipecat
Pipecat

Education

Kalinga Institute of Industrial Technology, Bhubaneswar

Bachelor of Technology - BTech, Computer Science Engineering

Kalinga Institute of Industrial Technology, Bhubaneswar

20224 yrs2026
Indus Valley World School

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

Indus Valley World School

Join Sakib and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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