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Software Engineer with 1+ years in AI-driven Backend Systems & LLM Applications
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Assessing your cultural and operational fit
Results-oriented LLM and Software Engineer with hands-on experience in building scalable AI-driven backend systems using Python, FastAPI, and AWS. Specialized in LLM applications, RAG pipelines, and multi-agent systems using LangChain, LangGraph, and OpenAI APIs. Proven ability to reduce system latency, automate MLOps pipelines, and deploy production-grade solutions. Creator of a modular AutoML framework (MLTuneX) integrating GPT-powered hyperparameter tuning. Strong foundation in AI, Deep Learning, and Cloud Infrastructure with a focus on real-world impact and performance optimization.
Prestige Institute of Engineering, Management And Research
Bachelor of Technology · Artificial Intelligence And Data Science
December 1, 2020 – June 1, 2024
NuAlg Infotech Private Limited
Software Engineer
September 1, 2024 – Present
Indore, Madhya Pradesh, India
National Remote Sensing Centre, ISRO
Project Intern
January 1, 2024 – March 1, 2024
Hyderābād, Telangana, India
NeoPhyte Ambient Intelligence
Software Engineer Intern
October 1, 2023 – June 1, 2024
Mumbai, Maharashtra, India
NeoPhyte Ambient Intelligence
Data Science Intern
June 1, 2022 – December 1, 2022
Mumbai, Maharashtra, India
MLTuneX: Lightweight AutoML Framework
January 1, 2024 – Present
Designed and implemented an extensible AutoML library for streamlined model selection and hyperparameter optimization using scikit-learn and Optuna. Integrated GPT-based suggestion engines (e.g., OpenAI GPT-40, Groq) for intelligent hyperparameter tuning. Enabled support for multi-model evaluation and deployment of the best-performing model through a simple, user-friendly interface. Architected the system for future integration with grid/random search and Ray Tune for distributed tuning. Built with modularity and scalability in mind to support diverse machine learning workflows on preprocessed datasets.
Cultural Fit Analysis
The candidate's diverse project experience, ranging from AutoML frameworks to PDF data extraction and multi-agent AI systems, indicates adaptability and a broad interest in technical challenges. Their involvement in both personal projects and internships at various companies (including ISRO) suggests a proactive and curious mindset. The focus on performance optimization and scalable solutions aligns with a results-oriented culture. The breadth of skills across AI, ML, and cloud technologies suggests a willingness to learn and apply new tools, which is a positive indicator for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing system performance and developing complex AI solutions. Their experience in MLOps and CI/CD integration suggests an understanding of operational best practices. The description of building user-friendly interfaces and improving customer support workflows indicates a user-centric approach. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.