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AI Engineer with 1+ years in ML/DL, Computer Vision, and Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science graduate with hands-on expertise in ML/DL model development, computer vision, and generative AI. Skilled in Python, PyTorch, and TensorFlow with experience in end-to-end model workflows: problem formulation, data engineering, prototyping, training, evaluation, and deployment. Strong background in transformer models (BERT, ROBERTa, LSTM, RNN), prompt engineering, RAG pipelines, and LLM-powered applications.
Vidya Pratishthan's Kamalnayan Bajaj Institude of Engineering and Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2024
UNIFIED MENTOR Pvt. Ltd.
Data Science Intern
June 1, 2025 – December 1, 2025
India
YBI Foundation
Machine Learning Intern
November 1, 2023 – January 1, 2024
India
Contract Reviewer - RAG Powered Document Analysis Tool
June 24, 2026 – Present
Designed and built a scalable backend using Fast API, Pydantic, and Supabase, handling secure document storage, JWT-based authentication, and complex relational data modeling. Automated legal risk assessments by designing system prompts for Gemini 2.5-flash-lite to generate structured JSON responses, identifying critical risk flags, key dates, and party roles. Built a dynamic PDF reporting engine using ReportLab to generate formatted executive summaries, complete with risk severity badges and tabular data extraction.
Generative AI Visualization
June 24, 2026 – Present
Designed GAN-based models for audio-to-image generation, exploring LLAMA frameworks. Demonstrated advanced data processing and visualization skills applicable to applied AI use cases.
Sentiment-IQ Machine Learning & NLP Integration
June 24, 2026 – Present
Engineered a real-time NLP inference pipeline using FastAPI and HuggingFace Transformers (DistilBERT/GoEmotions), classifying text sentiment and extracting granular emotional distributions with millisecond latency. Built an aspect-based sentiment analysis engine using spaCy to dynamically detect product features from unstructured reviews, providing highly targeted business insights.
GATE (DA) Qualifier 2026
Unknown
June 1, 2026 – Present
Training in Transformer Models & Generative AI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in AI and Data Science, aligning well with an AI Engineer role. The diversity of projects (RAG, Generative AI Visualization, NLP) indicates a broad interest in different AI domains. The internships, while entry-level, show a willingness to learn and contribute in professional settings. The candidate's educational background in AI & Data Science further strengthens the cultural fit for an AI-focused organization.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, design scalable solutions, and integrate various technologies. The internship experiences suggest collaboration and documentation skills. However, without direct assessment data, specific soft skills like leadership, problem-solving under pressure, or advanced communication in a team setting cannot be definitively evaluated.