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RR

Rajshekar RC

Open to work0 years experience

Full Stack Developer

Bangalore, KarnatakaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full Stack Developer | AI Engineer | GenAI Developer

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

45 skills
pythonjavascripttypescriptsqljavareact.jsnext.jstailwind csshtml5css3node.jsexpress.jsflaskfastapirest apismongodbmysqlchromadbvector databasesllmsraglanggraphlangchainmulti-agent systemsprompt engineeringembeddingsgroqgeminiopenaianthropic claudepydanticnumpymediapipeopencvreal-time trackinggitgithubvercelrenderlinuxdsaoopsystem designeval-driven developmentauthentication

Work Experience

Full Stack Developer Intern

Global Quest Technologies

May 2025 - Aug 2025 Bangalore, Karnataka
  • Engineered a production-ready e-commerce platform with product catalog, authentication, cart, and order processing using React.js, Express.js, and MongoDB, delivering 5+ core features end-to-end.
  • Designed and optimized 10+ RESTful APIs improving database query efficiency and eliminating redundant server-side operations across the application.
  • Built a fully responsive mobile-first UI across 8+ pages ensuring seamless UX across all screen sizes and devices.

Projects

Agentic Research Assistant

View Project
PythonFastAPILangGraphNext.jsGroqTavilyPytestRenderVercel
  • Shipped a 5-agent LangGraph research system (Planner, Searcher, FactChecker, Writer, Critic) with a Critic→Writer revision loop, deployed across Render (FastAPI) and Vercel (Next.js) with Groq→Gemini failover and live health monitoring.
  • Delivered 35% F1 gain(0.055→0.074) over RAG baseline on HotpotQA,cut hallucination 41%→22%via fact-checking, and trimmed multi-hop latency~40% via parallelasyncio.gathersearch; validated by a 134-test pytest suite (4s CI).

ResumeIQ

PythonFlaskReact.jsGroq LLMRAGChromaDBPydantic
  • Shipped a production AI resume analyzer in 15 days with 5 LLM endpoints (ATS scoring, JD matching, keyword extraction, bullet rewriting) and a 2-stage RAG pipeline indexing 53 job descriptions via ChromaDB and Llama 3.3 70B on Groq (25× latency gain, avg 1.25s).
  • Engineered structured-output reliability using Pydantic v2 schema validation with auto-retry, achieving 100% schema validity across 15 eval cases and verified prompt-injection defense against adversarial inputs.

Esophageal Cancer Detection

PythonMachine LearningPandasNumPy
  • Built a medical ML classification pipeline with preprocessing, feature engineering, model training, and accuracy benchmarking, delivering measurable improvement over baseline using production-level data science practices.

Real-Time Iris Detection System

PythonMediaPipeOpenCVComputer Vision
  • Built a real-time iris localization and eye-tracking system using MediaPipe and OpenCV facial landmarks, processing 30+ FPS for smooth low-latency live-feed performance.

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

Agentic Research Assistant Performance Metrics

Delivered 35% F1 gain over RAG baseline on HotpotQA, cut hallucination 41% to 22% via fact-checking, and trimmed multi-hop latency ~40% via parallel asyncio.gather search.

ResumeIQ Reliability Metrics

Achieved 100% schema validity across 15 eval cases and verified prompt-injection defense for ResumeIQ.

About Details

Professional Bio

Full Stack Developer and AI Engineer who ships production AI systems end-to-end. Built a 5-agent LangGraph research pipeline and a production AI resume analyzer with 5 LLM endpoints. Strong in Python, FastAPI, React.js, Next.js, LLMs, RAG, and multi-agent systems.

Bachelor of Engineering in Computer Science

PES Institute of Technology & Management (2021 - 2025)

Languages: English, Hindi
Email: Locked