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AI Engineer with 2+ years in Machine Learning & Natural Language Processing
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Assessing your cultural and operational fit
Highly skilled AI Engineer with expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), LLMs, and Generative AI. Proven ability to design and deploy intelligent systems, develop recommendation engines, and build AI-powered applications using Python, FastAPI, and cloud-native practices. Strong background in data analysis, feature engineering, and model evaluation, with experience in diverse projects spanning email automation, recommendation systems, and meeting copilots.
Center For Development of Advanced Computing(CDAC)- Bengaluru
Post Graduate Diploma · Big Data Analytics and AI ML
August 1, 2025 – June 30, 2025
Babu Banarasi Das National Institute of Technology & Management Lucknow
Bachelor of Technology · Mechanical Engineering
August 1, 2018 – June 30, 2022
Albert Weiss A/C Products Inc.
HVAC Estimation Analyst
November 1, 2023 – January 1, 2025
India
AI Variant
Data Science Intern
May 1, 2023 – October 1, 2023
India
AI Email Automation System (Agentic AI)
June 1, 2026 – Present
Built an agentic AI-driven email automation system using Gmail API and OAuth 2.0 for secure access. Designed autonomous workflows to send, track, and manage follow-ups based on context and timing. Implemented LLM-based personalization to generate dynamic, context-aware email content. Developed scalable backend logic with scheduling, retry mechanisms, and rate-limit handling. Deployed using FastAPI-based architecture for modular and extensible automation pipelines.
View ProjectRecommendation System
June 1, 2026 – Present
Developed a recommendation system using collaborative filtering on 270K+ records (users, books, ratings). Implemented similarity-based recommendations using cosine similarity. Built both user-based and item-based approaches to improve recommendation accuracy. Evaluated model performance using RMSE and optimized for sparse datasets. Performed EDA and feature engineering to enhance recommendation relevance.
View ProjectAI Meeting Co-Pilot
June 1, 2026 – Present
Developed a local AI meeting assistant using Whisper for speech-to-text transcription. Integrated LLM to generate concise summaries, key insights, and action items. Designed prompt-engineered workflows for structured output generation. Optimized system performance for low-resource environments (8GB RAM). Built end-to-end pipeline: audio input → transcription → summarized output.
View ProjectCultural Fit Analysis
The candidate shows a strong interest in AI/ML through diverse personal projects, aligning well with an AI Engineer role. The transition from Mechanical Engineering to Big Data Analytics and AI/ML, followed by relevant internships and personal projects, demonstrates initiative and adaptability. The breadth of skills, including both core AI/ML and deployment technologies, suggests a proactive learning approach. However, the professional experience outside of the Data Science internship is not directly related to AI/ML, which might require a cultural adjustment to a purely technical AI environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work autonomously on complex AI systems, manage project lifecycles from design to deployment, and optimize for performance. The HVAC Estimation Analyst role suggests experience in data-driven decision-making and collaboration with stakeholders, which are valuable operational skills. However, direct evidence of stress handling or team collaboration in an AI/ML context is limited to project descriptions.