Vamsi Krishna

Software Engineer

India4 yrs 5 mos experience

Highly StableAI ML Practitioner

Key Highlights

4+ years of experience in web application development.
Finalist in Code Chef SnackDown contest, ranked 10/2500.
Expertise in building secure RESTful APIs and responsive UIs.

Stackforce AI infers this person is a SaaS-focused Software Engineer with strong backend and frontend development skills.

Contact

vk.konidena@gmail.com LinkedIn

Skills

Core Skills

PythonReactLangchainApi HandlingUi Development

Other Skills

DjangoFastAPINode.jsPineconeFAISSData flow optimizationBackend logicAIVector DatabasesRetrieval-Augmented Generation (RAG)Large Language Models (LLM)Open AIArtificial Intelligence (AI)Tailwind CSSWebSocket

About

Software Engineer with 4+ years of experience at Reva, specializing in building web applications using Python and Javascript frameworks. Engineered backend systems using Django, FastAPI, Node.js & frontend systems using React, Redux 1. Developed and deployed secure RESTful APIs using Django, FastAPI and Node.js for speed; responsive and accessible UIs using React, Redux 2. Practical experience in building an enterprise grade RAG system with Langchain, vector DBs (FAISS, HNSWLib, Pinecone), fine tuning open source LLMs, low latency searching, reducing compute costs, strong security controls like RBAC, encryption 3. One of my key achievements includes securing a finalist position (ranked 10/2500 teams) in the Code Chef SnackDown contest, showcasing my abilities in Data Structures and Algorithms I enjoy working on impactful projects and love connecting with teams building practical solutions. You can reach me anytime at vk.konidena@gmail.com

Experience

4 yrs 5 mos

Total Experience

4 yrs 5 mos

Average Tenure

4 yrs 5 mos

Current Experience

Reva solutions

Software Engineer

Dec 2021 – Present · 4 yrs 5 mos · Hyderabad, Telangana, India · On-site

1. Built an AI-powered document assistant by integrating OpenAI with D2 Documentum, allowing users to ask natural language questions and get accurate answers from large document sets. Used Langchain, Pinecone and in house FAISS vector store to enable fast semantic search across 1 lakh+ documents.
2. Developed a document sync framework to connect SharePoint, Aconex, and Documentum, optimising data flow and API handling. Built a secure bridge between systems for smooth cross-platform document management
3. Played a key role in building an internal resource management tool for Avigilon, Developing reusable UI components, handled backend logic and optimised data flow to resolve technical blockers.

PythonReactDjangoFastAPINode.jsLangchain+2