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AI Engineer with less than a year in AI/ML and Data Science
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Assessing your cultural and operational fit
An Ex-SWE(AI/ML) Intern experienced in working with artificial intelligence, machine learning, and data science techniques to develop data-driven solutions for decision support and operational efficiency.
Poornima University
B.Tech · CSE with specialization in Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
D.A.V Public School
Class 12th & 10th
N/A – Present
Logicspice Consultancy
SWE (AI/ML) Intern
December 1, 2025 – March 1, 2026
Jaipur, Rajasthan, India
ZFA Labs
Data Science Intern
May 1, 2025 – July 1, 2025
India
Python-Based Voice Assistant
June 29, 2026 – Present
Automated 10+ system-level operations including email handling, application launch, and web search using voice commands. Integrated speech recognition and text-to-speech modules for real-time command execution and reduced manual task execution time by approximately 50% through command-based automation.
Resume Coach AI (AI-Powered Resume Analysis & Career Coaching Platform)
June 29, 2026 – Present
Designed an AI-driven career coaching system leveraging Retrieval-Augmented Generation (RAG) to process up to 15-page PDF resumes and generate 5-point structural summaries using the 70-billion parameter Groq Llama-3 model. Prepared a semantic search pipeline utilizing LangChain, HuggingFace Sentence-Transformers (384-dimensional embeddings), and FAISS to enable interactive Q&A by retrieving the Top-4 most relevant context chunks per query. Architected and hosted a scalable Flask backend, optimizing document processing to chunk text into 2000-character segments, achieving sub-2s response times for real-time LLM inference and career coaching insights.
View ProjectMovie Recommender System
June 29, 2026 – Present
Processed 5000+ movie metadata entries from TMDB dataset to generate personalized recommendations. Executed cosine similarity based content filtering, achieving top-N recommendation accuracy improvement. Minimized recommendation retrieval time by approximately 40% through accelerated similarity computation. Developed Streamlit web application enabling real-time user-based movie recommendation.
View ProjectCandidate Shortlisting Service (AI-Based Resume-Job Matching)
June 29, 2026 – Present
Developed AI-powered candidate ranking microservice processing 1000+ resume-job pairs and evaluating 100+ candidates per request using semantic embeddings and 7+ engineered ranking features. Trained XGBoost learning-to-rank model and integrated cross-encoder re-ranking (Top-20) to improve contextual job-resume matching accuracy and scoring precision. Built and deployed Dockerized FastAPI REST API microservice with integration of PostgreSQL on AWS EC2 with sub-5s response time, implementing configurable weight-based scoring (5+ parameters) and LLM-based explainability (pros, cons, confidence scores).
Privacy and Security in Online Social Media
IIIT Hyderabad (NPTEL)
June 1, 2026 – Present
Project Management
IIT Kanpur (NPTEL)
June 1, 2026 – Present
Introduction to Internet of Things
IIT Kharagpur (NPTEL)
June 1, 2026 – Present
Enhancing Soft Skills and Personality
IIT Kanpur (NPTEL)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML through their specialization, internships, and personal projects. The diversity of projects (candidate shortlisting, resume coaching, movie recommender, voice assistant) shows a broad application of AI concepts. The target role of 'AI Engineer' aligns well with their demonstrated skills and project focus. The candidate's proactive pursuit of certifications also indicates a drive for continuous learning, which is a positive cultural fit indicator.
Soft Skills & Operational Fit
The candidate's certifications in Project Management and Enhancing Soft Skills and Personality suggest an awareness of professional development beyond technical skills. The project descriptions indicate an ability to work on complex problems and deliver functional solutions, which aligns with operational fit. However, without direct interview data, assessing collaboration, stress handling, and work attitude is limited.