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Generative AI Engineer with 1+ years in RAG, LangGraph, and LLMs.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Engineer building production-grade agentic systems using RAG, LangGraph, and LLMs (GPT-40, Claude). Delivered measurable impact: 68% reduction in hallucinations, 80% improvement in matching accuracy, 100+ concurrent real-time conversations. Strong foundation in machine learning, deep learning, transformer architectures, and model training. Experienced in prompt engineering, reinforcement learning concepts, and scalable AI system design. Collaborative engineer with strong problem-solving skills.
Jain College of Engineering
B.E. Electronics & Communication · Electronics & Communication
August 1, 2021 – June 30, 2025
Zerokost Healthcare
Full Stack & Embedded AI Developer
May 1, 2025 – Present
Hyderābād, Telangana, India
HRMS - AI-Powered HR System
June 24, 2026 – Present
Built production-grade RAG-based enterprise system enabling natural language queries over 2,000+ documents with 91% accuracy. Reduced hallucination from 19% to 4% using hybrid retrieval (dense + keyword search). Designed LangGraph agent workflows for multi-step decision systems with human-in-the-loop control. Implemented evaluation using RAGAS and monitoring via LangSmith for response quality tracking.
AI Job Hunter
June 24, 2026 – Present
Developed production-grade multi-agent system (Scraper, Ranker, Matcher, Applicator) processing 500+ jobs daily. Built RAG-based resume matching pipeline improving relevance by 80%. Boosted ranking precision from 61% to 88% using fine-tuned cross-encoder models (PyTorch). Implemented async orchestration with retry logic and caching using Redis for performance optimization. Integrated Claude Code for agentic code generation within automated workflows.
Mock AI - Interview Platform
June 24, 2026 – Present
Designed production-grade conversational agent system handling 300+ weekly sessions with adaptive questioning. Improved evaluation consistency by 35% using structured prompt strategies and scoring rubrics. Implemented real-time token streaming and caching to reduce latency and API costs. Built role-based evaluation pipelines for different domains (SDE, PM, Data Science).
IoT-Based Pet Safety Collar
Unknown
June 1, 2026 – Present
SIH Hackathon Winner
Unknown
June 1, 2026 – Present
AICTE Innovation Exhibition (3rd Place)
AICTE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of projects (HR, job hunting, interview platform, healthcare) and participation in hackathons and innovation exhibitions indicate a strong drive for innovation and continuous learning. Their experience in building agentic systems and working with various LLMs aligns well with a forward-thinking, AI-focused culture. The explicit mention of collaboration in their professional experience suggests a team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and a collaborative approach, as evidenced by their project descriptions and professional experience. Their ability to design and implement complex AI systems, coupled with optimizing backend performance and CI/CD, indicates a strong operational fit for a senior role. The measurable impacts cited in their projects suggest a results-oriented mindset.