AI Engineer with less than a year in Machine Learning, Deep Learning & NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven Computer Engineering graduate with hands-on experience in machine learning, deep learning, and natural language processing. Proficient in Python, SQL, and data visualization tools, with a strong foundation in building predictive models, time series forecasting, and analyzing and interpreting complex datasets.
Savitribai Phule Pune University
Bachelor of Engineering · Computer Engineering
August 1, 2021 – June 30, 2025
Maharashtra State Board
Residential Junior College
June 1, 2019 – May 31, 2021
MHTECHIN
Generative Al Intern
May 1, 2026 – Present
Pune, Maharashtra, India
Cravita Technologies India Private Limited
Data Science Intern
November 1, 2025 – April 30, 2026
Pune, Maharashtra, India
Complaint Auto-Routing & Grievance Intelligence
June 25, 2026 – Present
Built a Production-Ready Multimodal AI Pipeline that processed citizen grievances from Text and Audio (.wav) inputs, leveraging OpenAI Whisper ASR for speech-to-text transcription and automated complaint handling workflows. Engineered a Semantic Search and Prediction System using all-MiniLM-L6-v2 (384-D Embeddings) and ChromaDB, while training Random Forest Classification, Priority Prediction, and ETA Forecasting Models for Department Routing, Duplicate Detection, and Resolution Time Estimation.
View ProjectStock Price Forecasting using Time Series Analysis (Deep Learning)
June 25, 2026 – Present
Built a Stock Price Prediction Model using ARIMA, LSTM, Pandas, NumPy, and Time-Series Forecasting Techniques, where the ARIMA model achieved a 44.4% lower RMSE of 4.66 compared to LSTM, demonstrating significantly higher prediction accuracy. Developed an optimized Data Preprocessing Pipeline with Feature Engineering, Hyperparameter Tuning, Stationarity Testing (ADF Test), and Vectorized Operations, improving forecasting reliability and reducing data processing latency by 25%.
View ProjectResume Scanner System (Machine Learning & NLP)
June 25, 2026 – Present
Developed an AI-Powered Recruitment System using Python, Flask that automated Resume Screening, Candidate Tracking, ATS Scoring, and Job-Matching Workflows. Built intelligent Skill-Gap Analysis and Data Processing Modules using Natural Language Toolkit (NLTK), TF-IDF Vectorization, Cosine Similarity, Lemmatization, and NLP Techniques to identify missing competencies and improve hiring accuracy.
View ProjectData Science and Analytics Training
Fortune Cloud Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from grievance intelligence to stock forecasting and resume scanning, indicates a broad interest in applying AI across different domains. Their involvement in both data science and generative AI internships shows adaptability and a willingness to explore various facets of AI engineering. This breadth of experience and continuous learning aligns well with a dynamic, innovation-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying advanced AI/ML techniques through diverse academic projects and internships. Their experience in collaborating on research and improving data-driven decision-making indicates a team-oriented mindset. The focus on optimizing models and pipelines suggests an attention to performance and efficiency, which is valuable for operational fit.