Key Strengths

Demonstrated experience in Machine Learning and Generative AI model development, including BERT-based classification and LLM implementation using Scikit-Learn and TensorFlow.
Proficiency in NLP techniques such as TF-IDF, word embeddings, sentence transformers, and RAG architectures.
Experience with MLOps practices, including model lifecycle automation, CI/CD pipelines (Azure DevOps), and robust monitoring.
Ability to optimize data pipelines (tf.data, Azure Data Factory, Databricks) for efficiency and scalability.
Familiarity with model deployment strategies (Flask + Gunicorn) for real-time inference APIs.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a psychometric test score of 0. This score indicates a critical gap in assessing the candidate's logical reasoning, work attitude, stress handling, and team collaboration, which are fundamental for cultural and operational fit.

Soft Skills & Operational Fit

Insufficient data due to a psychometric test score of 0, which raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration. While the resume mentions collaboration and documentation, these claims are unvalidated by assessment.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated experience in Machine Learning and Generative AI model development, including BERT-based classification and LLM implementation using Scikit-Learn and TensorFlow.
Proficiency in NLP techniques such as TF-IDF, word embeddings, sentence transformers, and RAG architectures.
Experience with MLOps practices, including model lifecycle automation, CI/CD pipelines (Azure DevOps), and robust monitoring.
Ability to optimize data pipelines (tf.data, Azure Data Factory, Databricks) for efficiency and scalability.
Familiarity with model deployment strategies (Flask + Gunicorn) for real-time inference APIs.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

UMESH INAMDAR

AI Engineer

https://talent.gravityer.com/umesh-inamdar

AI Engineer with 2+ years in Data Science & Machine Learning

LTIMindtree (now LTM)

Pune, Maharashtra, IndiaMember since May 6, 2026

https://talent.gravityer.com/umesh-inamdar

About

A DATA Professional with nearly 3 years of experience delivering Data Science & Al based solutions using Machine Learning, NLP and Generative Al with a proven track record of developing and deploying scalable models that reduced processing time by 40% and improved operational efficiency by 40%. Adept at translating complex business problems into actionable Al solutions, with strong expertise in end-to-end model development and cross-functional collaboration.

Top Skills

XgboostRagPyTorch

Skills

Deep LearningNlpGenerative AiRagXgboostTensorFlowKerasScikit LearnPyTorchHugging FaceLangchainLanggraphPandasSQLETL PipelinesPysparkDatabricksPythonPower BIMysql

Education

I2IT Pune

Bachelor of Engineering · Computer Engineering

August 1, 2019 – June 1, 2023

Experience

LTIMindtree (now LTM)

Senior Consultant (Data Science & Machine Learning)

June 1, 2023 – Present

Pune, Maharashtra, India

Software Engineer (DATA & Analytics Engineering)

May 1, 2023 – May 31, 2023

Chennai, Tamil Nadu, India

Projects

Reviews Classification & Analysis Model

September 1, 2025 – April 1, 2026

Developed and fine-tuned a BERT-based review analysis model using TensorFlow/Keras, achieving 93% accuracy across multi-class sentiment labels. Built optimized tf.data pipelines for tokenization, attention masks, batching, and padded sequences, improving GPU training efficiency by 25%. Implemented advanced training strategies such as AdamW optimizer, learning-rate warm-up, and gradient clipping to ensure stable convergence. Deployed the model with Flask + Gunicorn, enabling real-time inference APIs with <600 ms latency.

Certifications

IQIGAI AI Fellowship Challenge 2026

IQIGAI

May 1, 2026 – Present