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Generative AI Engineer with less than a year in Generative AI & LLM
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer specializing in Generative AI and LLM-based systems (RAG, LangChain, FastAPI). Experienced in building production-ready AI applications, optimizing latency (↓66%), and improving model performance through prompt engineering and evaluation techniques.
Indian Institute of Information Technology, Dharwad
B.Tech · Data Science and Artificial Intelligence
August 1, 2022 – June 30, 2026
Indvibe Infotech Pvt. Ltd.
Software Development Intern
April 1, 2025 – July 1, 2025
Indore, Madhya Pradesh, India
AutoReply AI – GenAI Email Assistant (RAG-based)
January 1, 2026 – Present
Built production-ready GenAI chatbot using RAG pipeline for email automation. Improved response accuracy and reduced hallucinations via prompt engineering. Reduced p95 latency by 66% using Redis caching and optimized retrieval. Deployed scalable API service handling real-time email query generation.
View ProjectCode-Mixed Machine Translation (Hinglish → English)
January 1, 2026 – Present
Built NLP model for Hinglish-to-English translation. Processed noisy multilingual datasets for training. Evaluated model using BLEU, chrF, and CoMeT metrics. Improved translation quality via preprocessing and tuning.
View ProjectAxeDB – Distributed NoSQL Database (Raft-based)
January 1, 2026 – Present
Built distributed NoSQL DB using Raft for fault tolerance and consistency. Designed Redis-compatible interface with RocksDB/LevelDB support. Implemented scalable key-value storage with replication. Optimized performance for low-latency and high availability.
View ProjectUnsupervised Learning, Recommenders & Reinforcement Learning
Coursera
September 1, 2024 – Present
Supervised Machine Learning
Coursera
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including GenAI, NLP, and distributed systems, indicates a broad technical curiosity and willingness to tackle complex challenges. Their involvement in hackathons and self-directed learning (Coursera certifications) suggests a proactive and growth-oriented mindset, which aligns well with innovative tech cultures. The target role of Generative AI Engineer is a strong match for their demonstrated project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through personal projects and competitive programming. Collaboration in Agile teams and efficient version control with Git are noted during their internship, indicating good operational fit. The project descriptions are clear and highlight impact, suggesting effective communication of technical achievements.