App LogoApp name
SR

Shiva Santosh Reddy Aenugu

Open to work0 years experience

Frontend Developer

Hyderabad, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Frontend-capable AI Engineer specializing in React, TypeScript, Next.js, and FastAPI.

GitHubLinkedIn
Resume
Email

Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

35 skills
react.jsnext.jstypescripthtml5css3responsive designrest api integrationchatgptcursorgithub copilotprompt engineeringfastapipythonjwt authasync processingwebsocketspostgresqlmongodbneo4jmysqlredisvector dbsdockerawsci/cdmicroservicesgitlinuxlangchainlanggraphrag pipelinesgraphragfaissllmsagentic ai

Work Experience

Founding AI Engineer

Ekthaa

Dec 2025 - Present Hyderabad, Remote
  • Built production RAG chatbot serving 500+ businesses — improved retrieval speed by 70% using FAISS, Neo4j, LangChain, and FastAPI backend APIs consumed by frontend clients.
  • Architected Docker-based microservices with CI/CD pipelines — reduced backend deployment time by 80%, enabling faster frontend iteration cycles.
  • Integrated Whisper ASR with Ollama LLM pipelines to deliver real-time voice ordering with sub-2s response latency, including streaming API design for frontend consumption.
  • Used AI-assisted development tools (Cursor, ChatGPT) throughout production workflow — validated all AI-generated code before shipping.

Projects

Campus Eats — Full Stack Ordering Platform

ReactFastAPIPostgreSQLRedis
  • Built a React frontend + FastAPI backend supporting 200 concurrent users with real-time order tracking via WebSocket updates.
  • Achieved 100% pass rate across 47 backend API tests — clean, maintainable code with comprehensive input validation and strategic DB indexing.
  • Implemented Redis caching and optimized PostgreSQL query performance for scalable, production-grade architecture.

AI Resume Screener

ReactFastAPISentence TransformersPostgreSQL
  • Built a React recruiter dashboard with a FastAPI scoring backend — improved candidate matching accuracy by 28% using contextual sentence-transformer embeddings.
  • Reduced manual screening time by 60% via automated multi-criteria ranking pipeline across skills, experience, and job fit.

Voice-Activated AI Assistant

WhisperOllamaLangChainFastAPI
  • Architected a modular pipeline integrating Whisper ASR, LangChain orchestration, and streaming FastAPI gateway — achieved sub-3s end-to-end response.
  • Grounded outputs in real-time web data via RAG — reduced hallucinated responses by ~35%.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Production RAG chatbot performance improvement

Improved retrieval speed by 70% using FAISS, Neo4j, LangChain, and FastAPI backend APIs.

Backend deployment optimization

Reduced backend deployment time by 80% through Docker-based microservices and CI/CD pipelines.

GraphRAG accuracy improvement

Raised multi-hop QA accuracy by 35% on a 200-query benchmark using GraphRAG pipelines.

LLM hallucination reduction

Reduced LLM hallucination rate by 40% via hybrid vector-graph retrieval.

About Details

Professional Bio

Frontend-capable AI Engineer with production experience in React, TypeScript, Next.js, and FastAPI. Built full-stack platforms including a multi-user campus ordering system and an AI Resume Screener. Seeking a frontend role where product thinking, clean UI, and AI-assisted engineering intersect.

B.Tech, Computer Science — AI & ML

Sreyas Institute of Engineering & Technology, Hyderabad (2022 - 2026)

Languages: English, Hindi
Email: Locked