Keshav Pareek
@keshavpareek3
I build enterprise AI pipelines, language models, and machine learning applications.
What I'm looking for
At Neural Machine Private Limited's Produktiv.ai, I built RAG-based enterprise AI pipelines with semantic search, scalable document ingestion, Elasticsearch, Kafka, PostgreSQL, and cloud connectors.
I've trained GPT-style Hindi and English language models from scratch in PyTorch, built an autonomous financial-reporting agent, and developed computer-vision applications for image restoration and AI fitness coaching. Earlier, at SEMS Welfare Foundation, I built and maintained its official website while analyzing traffic and course-engagement metrics to improve outreach.
Experience
Work history, roles, and key accomplishments
Software Development Engineer Intern
Neural Machine Private Limited
Jan 2026 - Jun 2026 (5 months)
Worked on RAG-based enterprise AI pipelines, implementing semantic search with Elasticsearch and optimizing metadata generation workflows. Engineered scalable document ingestion and indexing pipelines using Go, Python, Kafka, Elasticsearch, PostgreSQL, and cloud connectors.
Information Technology Intern
SEMS Welfare Foundation
May 2024 - Jul 2024 (2 months)
Built and maintained the official website for SEMS Welfare Foundation, improving responsiveness, usability, and overall user experience. Analyzed website traffic and course engagement metrics to support content optimization and improve user outreach and enrollment strategies.
Education
Degrees, certifications, and relevant coursework
JK Lakshmipat University
Bachelor of Technology, Computer Science and Artificial Intelligence
2022 -
Grade: 7.3 CGPA
Pursuing Bachelor of Technology in Computer Science with a focus on Artificial Intelligence, achieving a CGPA of 7.3.
Mahapragya International School
High School Diploma, General Studies
Grade: 84.4% (Class 12), 75% (Class 10)
Completed Class 12 with 84.4% and Class 10 with 75%.
Availability
Location
Authorized to work in
Job categories
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