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Hritesh GhoshHG
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Hritesh Ghosh

@hriteshghosh

I build Python AI features, APIs, and data workflows for reliable real-time education and analytics products.

India
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What I'm looking for

I'm looking to build reliable AI-powered products, backend services, and data workflows where I can improve model quality, automate processes, and contribute to real-world outcomes.

At Freadom Edu, I build Python-based AI features for education products, integrating LLMs, speech-to-text, text-to-speech, external AI APIs, REST APIs, and WebSockets for real-time processing.

I've automated testing and data-processing workflows to reduce manual testing effort by 20%, and optimized prompt, inference, and evaluation pipelines to reduce processing errors by 50%. I also develop model evaluation workflows that benchmark accuracy and latency before production.

Previously, I integrated REST APIs between legacy ERP systems and cloud platforms at Access Livelihoods, reducing manual data entry by 40%. My work also includes environmental-monitoring backend services at HIAL and climate-data ETL and predictive analytics contributions through Omdena Bhutan.

Experience

Work history, roles, and key accomplishments

FE

AI Developer Intern

Freadom Edu

Jun 2026 - Sep 2026 (3 months)

Engineered AI-powered educational features using LLMs, STT, TTS, WebSockets, and APIs, accelerating prototype development by 2x. Built automated verification and evaluation workflows to improve AI feature quality.

HH

Research Fellow

Himalayan Institute of Alternatives, Ladakh (HIAL)

Jul 2025 - Dec 2025 (5 months)

Developed backend services and REST APIs for automated environmental monitoring systems for the Ice Stupa Project. Structured heterogeneous scientific datasets and supported ML models for extreme-weather and hydrological-risk analysis.

Education

Degrees, certifications, and relevant coursework

KIIT University logoKU

KIIT University

B.Tech, Computer Science and Engineering

2020 - 2024

Grade: 8.26/10

Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of 8.26/10.

Tech stack

Software and tools used professionally

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