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AI Engineer with less than a year in Python, SQL & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Al Engineer with hands-on experience in Python, SQL, backend development, and AI/ML projects. Skilled in REST APIs, FastAPI, data processing, and machine learning workflows with practical exposure to GenAl and NLP-based applications. Strong problem-solving, adaptability, and eagerness to contribute to real-world software solutions.
RTMNU
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
MHTECHIN
Gen Al Intern
April 1, 2026 – Present
Pune, Maharashtra, India
EduSkills (AWS + AICTE NEAT)
AI/ML Virtual Internship (Virtual)
January 1, 2026 – March 31, 2026
India
ETL Data Pipeline & Processing System
June 1, 2025 – June 1, 2026
Designed ETL pipelines processing 50K+ records from APIs, databases, and files. Performed data cleaning and preprocessing, improving data quality by ~30%. Integrated data from 3+ sources ensuring consistency and reliability.
Agentic RAG System with Intelligent Routing
June 1, 2025 – June 1, 2026
Built a production-oriented RAG system with dynamic routing between retrieval and LLM responses. Improved response accuracy by ~20%, measured across 200+ real-world queries using evaluation benchmarks. Reduced average latency by ~15% (optimized query flow and retrieval pipeline).
View ProjectLAW-GPT: AI Legal Assistant (NyayGURU)
June 1, 2025 – June 1, 2026
Developed an LLM-powered legal assistant for document understanding and contextual Q&A. Improved retrieval relevance by ~25%, evaluated across 100+ legal documents using semantic search. Translated research-based RAG concepts into a functional prototype for real-world legal use cases. Improved answer quality and usability for domain-specific queries.
View ProjectData Visualization with Power BI
Great Learning
June 1, 2026 – Present
Career Essentials in Data Analysis
Microsoft & LinkedIn
June 1, 2026 – Present
GenAI Data Analytics Simulation
Tata Group
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying AI concepts, including diverse applications like legal tech and agentic systems. The combination of academic study in AI & Data Science, multiple internships, and personal projects indicates a strong passion for the field and a self-starter mentality. This aligns with a culture that values initiative, continuous learning, and practical application of knowledge. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and an eagerness to contribute, as evidenced by quantifiable improvements in response accuracy, latency, and retrieval relevance. The experience in internships suggests adaptability and a willingness to learn in real-world AI environments. The focus on practical application aligns well with operational needs for deploying AI solutions.