
AI Engineer with 3+ years in LLM/GenAI, Python & Machine Learning, specializing in RAG systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LLM / GenAI Engineer with 3+ years of combined experience in Python development and Machine Learning. Specialized in building production-grade RAG systems, hybrid retrieval pipelines (FAISS + BM25), and LLM-powered applications. Experienced in designing scalable AI systems with reranking, embeddings, and low-latency inference. Strong background in backend engineering, computer vision, and time-series forecasting.
Rashtriya Raksha University
B.Tech · Computer Science (Cyber Security)
August 1, 2018 – June 30, 2022
Infort Technology Pvt Ltd
Python Developer
January 1, 2022 – June 30, 2023
India
Suspicious Activity Detection (CNN + OpenCV)
June 24, 2026 – Present
Developed real-time system detecting 16+ human activities. Implemented anomaly detection with alert-based monitoring.
Rainfall Prediction System (ARIMA + LSTM)
June 24, 2026 – Present
Built time-series forecasting models and compared performance for accuracy.
AI Dog Activity Trainer (Deep Learning)
June 24, 2026 – Present
Designed CNN model for animal behavior classification. Adapted human activity recognition techniques.
AI Trading Assistant (Hybrid RAG System)
June 24, 2026 – Present
Built LLM chatbot using hybrid retrieval (FAISS + BM25) and reranking. Designed multi-stage pipeline: retrieval → reranking → generation. Improved answer relevance and reduced hallucination using grounded context.
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering RAG systems, computer vision, and time-series forecasting, which indicates a broad interest in AI/ML domains. The experience as a Python Developer and Freelance ML Engineer, coupled with personal projects, suggests a proactive and self-driven individual. The target role of AI Engineer aligns well with the candidate's stated specialization in LLM/GenAI and RAG systems. The breadth of skills (Python, SQL, various AI/ML frameworks, backend technologies) also contributes positively to cultural fit, indicating a versatile technologist.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse AI/ML problems, suggesting adaptability. The experience as a Python Developer and Freelance ML Engineer shows a capacity for independent work and delivering solutions. However, without specific behavioral assessment data, it's difficult to fully assess collaboration, stress handling, or work attitude.