Sachin Tiwari

About

Python Developer and AI/ML Engineer with hands-on experience building AI-powered backend systems, REST APIs, RAG applications, and full-stack solutions. Experienced in document-grounded AI assistants, recruitment intelligence systems, speech-to-text workflows, and production-oriented application development.

Experience

• IT Intern – Python & AI Backend Development
  Uno Minda IT Group · Manesar, Haryana
  Aug 2026 – Present

  Developed Python/FastAPI backend services and REST APIs for AI-powered business applications, integrating frontend workflows with backend data and AI services. Built AI/ML application workflows using Gemini, RAG, Qdrant, BGE-M3, Deepgram, Pandas, and React for document intelligence, recruitment analysis, and AI-assisted interview workflows. Implemented backend functionality including authentication, request validation, data filtering, pagination, job-scoped access control, asynchronous API communication, and database operations. Developed and tested document ingestion, AI evaluation, speech-to-text, candidate scoring, and reporting workflows while performing API testing, debugging, and feature integration.

• Data Analyst Trainee
  QSpiders
  Feb 2026 – Jul 2026

  Performed data cleaning, preprocessing, and exploratory data analysis using Pandas and NumPy. Wrote SQL queries using joins and subqueries for data extraction and analysis, built interactive dashboards using Power BI, deployed projects using Streamlit Cloud, and managed version control using Git and GitHub.

Education

• 2026 BB
  Bachelor of Technology

  Babu Banarasi Das Northern India Institute of Technology

  Information Technology · Sep 2022 – Jun 2026

  Information Technology · Sep 2022 – Jun 2026

Skills

Tools / apps / platforms

Projects

• AI Recruitment & Interview Intelligence Platform
  Python | FastAPI | React | SQLAlchemy | SQLite | Gemini | Deepgram

  Built a full-stack recruitment platform for PDF/DOCX resume parsing, JD analysis, candidate profiling, and deterministic ATS scoring using weighted skills, experience, JD relevance, and preferred skills. Developed resume/job-grounded AI interview generation and evaluation with structured rubrics, Gemini semantic scoring, evidence extraction, and local fallback evaluation. Integrated browser audio recording and Deepgram speech-to-text, with transcript persistence, answer analysis, interview completion validation, and evidence-based candidate comparison. Implemented JWT/role-based authentication, job-scoped data isolation, Alembic migrations, candidate hiring workflow, and ReportLab PDF intelligence reports with interview scores, strengths, gaps, and follow-up areas.

• Enterprise RAG Knowledge Assistant
  Python | FastAPI | RAG | Qdrant | BGE-M3 | Gemini | React

  Built a RAG-based knowledge assistant with FastAPI, Qdrant, BGE-M3 embeddings, and Gemini for document-grounded Q&A. Developed PDF/DOCX/TXT ingestion with text extraction, cleaning, chunking, metadata, and 1024-dimensional embeddings. Implemented cosine-similarity retrieval and validation to retrieve relevant document context and reduce hallucinations. Built a React/Vite interface for document management, AI chat, source inspection, dashboard, and conversation history.

Courses & certifications

• SQL · HackerRank
• Python · HackerRank
• Data Cleaning · Kaggle

🏆 Achievements & awards

• Top Brains Hackathon

  5th Rank out of hundreds of participants at QSpiders.