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TANISHA PRITHA

Mechanical Undergrad & Full-Stack AI Engineer

Mechanical engineer bridging the gap between solutions and intelligence. I build high-performance applications with Python and C++, delivering efficient, AI-integrated solutions for complex engineering challenges.

Whether it's optimizing inference for a custom LLM or architecting a securer Enterprise RAG pipeline, I obsess over the details from the tensor level to the React component.

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Tanisha Pritha
EXPERIENCE

AI Engineer Intern

AptlyHired (Startup)• Remote, New Delhi
Nov 2025 – Dec 2025
  • Developed multi-format document ingestion (PDF, DOCX, TXT, PNG, JPG) using PaddleOCR and custom parsing pipelines.
  • Built an end-to-end RAG system with advanced chunking strategies, metadata filtering, and optimized vector retrieval.
  • Engineered a "Chat with your Data" workflow, enabling secure user-uploaded document querying.
  • Improved retrieval accuracy by implementing noise filtering and specific prompt engineering techniques.
  • Integrated the RAG backend into a functional React web UI for internal testing and validation.
PROJECTS

Projects

Architectures and full-stack implementations.

AI Compliance Audit Engine
Multi-Agent-AI LLMOps Async-Python
01
FastAPIPostgreSQL

AI Compliance Audit Engine

Automating legal compliance audits for the Indian DPDP Act 2023 using a high-fidelity multi-agent AI system.

VIEW_SPEC
SpecOS
LLM-Orchestration DevTools Static-Analysis
02
Next.js 15FastAPI

SpecOS

A development platform that synchronizes architectural specifications with production code through automated GitHub integration.

VIEW_SPEC
Inbound Lead Engine
LLMOps System-Design Audit-Safe
03
FastAPIRedis

Inbound Lead Engine

Production-grade async lead processing with AI intent inference and SLA enforcement.

VIEW_SPEC
Privacy-First Local RAG
Local-LLM Privacy-AI ChromaDB
04
FastAPIChromaDB

Privacy-First Local RAG

An all-offline document intelligence system with OCR support and semantic retrieval for sensitive data sovereignty.

VIEW_SPEC
Return Risk Predictor
MLOps Predictive Quant-Study
05
PythonXGBoost

Return Risk Predictor

Comparative study on predicting e-commerce returns using sentiment analysis and delivery metadata.

VIEW_SPEC
MeetMe
Browser-RAG Local-First Vectordb
06
Next.js 14Gemini

MeetMe

Enterprise meeting intelligence with real-time transcription and local-first privacy-centric RAG.

VIEW_SPEC
GST Compliance Copilot
Advanced-RAG Hallucination-Proof FinTech
07
FastAPILlamaIndex

GST Compliance Copilot

Failure-aware RAG system for Indian GST compliance where 'I don't know' is a first-class feature.

VIEW_SPEC
SKILLS

GenAI & LLMs

TransformersRAG PipelinesLangChainPyTorchHuggingFaceLoRA/PEFTVector DBs (Pinecone/Chroma)Prompt EngineeringOllama

Full Stack Engineering

Next.js 14ReactFastAPITypeScriptTailwind CSSWebSockets

Backend & Systems

Python (AsyncIO)PostgreSQLRedisJWT / SecuritySystem DesignMicroservicesREST/GraphQLTesting (Pytest/Jest)

DevOps & Core

DockerCI/CD (GitHub Actions)AWSDSA (C++)Git FlowLinux
CONTACT

Let's Build Something Scalable.

I'm open to full-stack GenAI engineering roles where I can take ownership of the entire pipeline—from RAG architecture to the frontend UX.

Send Quick Message
Emailtpritha190304@gmail.com
LinkedInlinkedin.com/in/tanishapritha
GitHubgithub.com/tanishapritha
Twitter@tpritha03
LeetCodeleetcode.com/tpritha03
Phone+91 7368825023