
Hritesh Ghosh
@hriteshghosh
I build Python AI features, APIs, and data workflows for reliable real-time education and analytics products.
What I'm looking for
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
AI / ML Engineer
Freadom Edu
Sep 2026 - Present (1 month)
Develops Python-based AI features for education products, integrating LLMs, STT, TTS, and external AI APIs. Builds backend workflows with REST APIs and WebSockets, and automates testing and data-processing workflows.
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.
Technology Consultant Intern
Access Livelihoods
Jan 2026 - Apr 2026 (3 months)
Developed and integrated REST APIs between legacy ERP systems and internal cloud platforms, reducing manual data-entry work by 40%. Built Python/data workflows and real-time analytics dashboards for operational KPI monitoring.
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
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.
Availability
Location
Authorized to work in
Website
github.com/34567hg80Salary expectations
Social media
Skills
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