Skip to main content
Shikher Jain

Shikher Jain

Backend AI Engineer with experience building scalable Python APIs, data pipelines, and AI-powered backend systems

Talent
AgraMember since May 24, 2026
PythonSQLFastAPIFlaskREST APIsAsync ProgrammingMicroservicesJWTPostgreSQLSQLiteSQLAlchemyFAISSQdrantDockerGitGitHub Actions CI/CDDeploymentScikit-learnTransformersHuggingFaceStreamlitETL PipelinesREDISDatabaseAi EngineerData AnalystData ScienceLlmNlpAgentic AiAi DeveloperGenerative Ai
·

Hire this person

Send a job offer directly to this candidate

PythonSQLFastAPIFlaskREST APIs

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

Skills

data pipelinesand AI-powered backend systems

Reviews

Related