AI Engineer with 3+ years in LLM/GenAI, Python & Machine Learning, specializing in RAG systems.
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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.