
Shikher Jain
Backend AI Engineer with experience building scalable Python APIs, data pipelines, and AI-powered backend systems
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About
Backend Engineer with experience building scalable Python APIs, data pipelines, and AI-powered backend systems. Skilled in FastAPI, PostgreSQL, Docker, and async programming. Developed production-ready backend infrastructure for semantic search, vector databases, and multimodal AI workflows with end-to-end deployment experience.
Experience
Data Science Intern at Dynamix Networks (2026-01 – 2026-04)
- Built concurrent data ingestion and ETL pipelines integrating Twitter API and Wikipedia sources with automated preprocessing, supporting continuous, scalable dataset generation for a production inference backend.
- Designed and optimized a PostgreSQL schema for high-throughput time-series storage and retrieval, supporting an end-to-end fake news detection service.
- Deployed a real-time inference API and Streamlit interface, enabling low-latency, interactive prediction serving for end users.
Software Engineer Intern (Backend AI/ML) at Novas Arc Consulting Pvt. Ltd. (2025-08 – 2025-11)
- Engineered backend data pipelines processing 10,000+ FAQ records with TF-IDF and embedding-based feature extraction, including validation, normalization, and deduplication for production-ready datasets.
- Built scalable text processing workflows for intent, persona, tone, and domain tagging using similarity-based evaluation, improving relevance by 20–30% over baseline systems.
- Automated structured data collection from 100+ dynamic web sources and generated JSONL datasets for downstream LLM fine-tuning, reducing manual effort by 75–80%.
Education
B.Tech in Computer Science and Engineering – Faculty of Engineering and Technology, Agra College (AKTU) (2022-08 – 2026-06)
CGPA: 7.9/10





