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AI Engineer with 3+ years in Machine Learning, NLP & Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced AI/ML Engineer & Data Analyst skilled in Python, SQL, machine learning, NLP fundamentals, dashboards, and building reliable data/ML pipelines. Strong in feature engineering, ETL workflows, predictive modeling, automation, and delivering practical AI-driven solutions across finance, healthcare, and business domains.
Centre for Development of Advanced Computing
Post-Graduate · Big Data Analytics
August 1, 2024 – June 30, 2025
Acharya Institute of Technology
B.E · Computer Science & Engineering
August 1, 2016 – June 30, 2020
OptimumAl
Data Science Intern
August 1, 2024 – December 1, 2024
India
Omdena
Junior ML Engineer
May 1, 2024 – August 1, 2024
India
Straight Growth
Data Analyst
March 1, 2023 – March 1, 2024
India
Old Dominion University
Data Science Research Intern
June 1, 2019 – August 1, 2019
Norfolk, Virginia, United States
Smart Analytics for Business Forecasting
January 1, 2024 – June 1, 2026
ARIMA, Prophet forecasting, ETL workflows, Streamlit dashboards, time-series analysis.
View ProjectText Summarization using NLP
January 1, 2024 – June 1, 2026
Transformers - Pegasus, Seq-to-Seq, PyTorch, HuggingFace, CUDA, model training & evaluation. Fast API, modular coding, docker.
View ProjectStock Market Prediction
January 1, 2024 – June 1, 2026
Predictive analytics, Apache ecosystem, ML pipelines, trend modeling.
View ProjectFine-Tuning LLaMA-2
January 1, 2024 – June 1, 2026
LLM Fine-Tuning, LoRA/QLoRA, PyTorch, BLEU, ROUGE, Perplexity.
View ProjectBook Recommender System
January 1, 2024 – June 1, 2026
NearestNeighbors, Pickle, Streamlit dashboards, Feature Engineering, Similarity Metrics.
Cultural Fit Analysis
The candidate's project portfolio and work experience demonstrate a strong interest and practical application in AI/ML and data science, aligning well with an AI Engineer role. The diversity of personal projects (stock prediction, recommender systems, NLP, LLM fine-tuning) and internship experiences (financial planning, economic analysis, healthcare) indicates a broad curiosity and adaptability. The candidate has worked in both internship and full-time roles, showing a willingness to learn and contribute. The current pursuit of a Post-Graduate degree in Big Data Analytics further reinforces a commitment to continuous learning and growth in relevant fields.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems and deliver practical solutions. The experience in optimizing workflows and improving engagement suggests a results-oriented approach. However, the resume does not provide explicit details on collaboration, leadership, or problem-solving methodologies in a team setting, making it difficult to fully assess soft skills and operational fit beyond technical contributions.