Hello, I'm

Sriharsha Velicheti

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Sriharsha Velicheti

About Me

I’m a Generative AI Engineer specializing in Retrieval-Augmented Generation (RAG) and advanced LLM orchestration — I build AI systems that turn messy, unstructured data into precise, contextual answers.

I design and deploy production-grade AI applications on Azure and GCP, focusing on performance, scalability, and real-world usability — not just prototypes.

Currently applying Generative AI to solve high-impact challenges in finance and manufacturing — delivering measurable outcomes by working across teams, tech stacks, and problem domains.

2+
Years Experience
25+
Freelance Projects Completed
3
Bronze Medals

Professional Experience

Nov 2024 - Present

TenderGenie (Document Intelligence Application)

@DatasmithAI

Overcame the challenge of manually reviewing lengthy manufacturing tenders, decreasing the reading time by 10x

Developed and deployed a retrieval-based RAG conversational assistant capable of document summarization, keyword extraction, and complex datasheet extraction, achieving a custom evaluation accuracy of 89.77%

Achieved lightning-fast keyword extraction in under 10 seconds, regardless of the number of keywords or pages, enhancing efficiency 100 times using the Aho-Corasick Engine

Tech Stack: Python, Docker, Gemini AI, Qdrant, FastAPI, Azure services

Jan 2024 - May 2024

Multimodel RAG Application

Research Intern @ Siemens

Conducted comprehensive research on end-to-end RAG architectures, which encompassed intricate PDF ingestion, structured data extraction, schema-aware parsing, and workflow automation

Executed multi-LLM response generation and benchmarking to evaluate accuracy, consistency, and factual reliability

Played a key role in incorporating integrated PID diagrams into knowledge graphs, utilizing Graph-RAG concepts for real-time plant monitoring and emergency surveillance

Tech Stack: Python, poetry, RAGAS, SQL, pypdf2 parsers

Personal Projects

Resume Filtering System for HR

AI-powered resume management system with automated filtering, ranking, and classification

Python NLP AI

AI Candidate Analysis Platform

NLP-based analysis with skill extraction, scoring, and interactive visualizations

Plotly Matplotlib LLM

AI Interview Assistant

Generates role-specific questions, conducts salary analysis, and provides accessibility features

AI NLP

Streamlit Workflow System

Modular application using Python, spaCy, scikit-learn, PyPDF2, Qdrant, and Groq AI

Streamlit PyPDF2 Qdrant

Skills & Technologies

Languages & Frameworks

Python 95%
FastAPI 90%
LangChain 88%

AI/ML Technologies

RAG & LLM Orchestration 92%
Gemini AI & OpenAI 90%
HuggingFace 85%
NLP & spaCy 87%

Cloud & DevOps

Azure Cloud Services 88%
Docker & CI/CD 85%
Azure DevOps 82%

Vector DBs & Tools

Qdrant 90%
Streamlit 88%
Git & Version Control 92%

GitHub Activity

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Public Repos
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Gists

Contribution Activity

GitHub Contribution Chart

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Education

Bachelor of Technology CSE

Data Science Specialization

Aug 2020 - June 2024
Jain University | Bengaluru

CGPA: 8.756

Honors in Data Science (specialization)

Accomplishments

TenderGenie Product Deployed: 3 business clients in less than a year of joining DatasmithAI

Kaggle Contributor: Secured 3 bronze medals

MACHINE HACK: Secured 6th individual position out of 159 participants with 92.6% accuracy

Workshop Speaker: Conducted Generative AI workshop at I2IT Pune College, representing DatasmithAI

President: Data Science Student Club (10 months)

Data Science Facilitator: Google Developer Student Club for a year, mentored over 100 students

Certification: NPTEL certification on Python for Data Science with 69% score from IIT

Get In Touch

Send Me a Message

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.

Download My Resume

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