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Python Engineer with less than a year in AI/ML & Data Science
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech graduate with strong hands-on Python development knowledge including REST API integration, OOP-based desktop applications, and backend development using FastAPI and Flask. Built real-world projects integrating third-party NLP APIs (Komprehend, OpenAI, Gemini, Groq) and automated ETL pipelines. Skilled in SQL, Docker, Git, and Linux. Eager to contribute to real-world Python projects in a fast-paced tech environment.
Mit Academy of Engineering
Bachelor of Technology · Electronics and Telecommunication
August 1, 2020 – June 30, 2024
Mit Academy of Engineering
Undergraduate Research Intern
June 1, 2023 – August 1, 2023
Pune, Maharashtra, India
Multi-Provider LLM Chatbot
March 1, 2026 – Present
Built production-grade chatbot integrating OpenAI GPT, Google Gemini, and Groq APIs with a provider-agnostic LLM router. Separated frontend (Streamlit) and backend (FastAPI) into independent containerised services using Docker Compose. Managed monorepo with uv package manager and independent dependency resolution per service. Implemented Pydantic schema validation, structured logging, and environment-based secrets management.
NLPApp - AI-Powered Text Analysis Tool
December 1, 2025 – Present
Building a desktop GUI application in Python using Tkinter with OOP architecture, integrating Komprehend REST API for Sentiment Analysis, Named Entity Recognition (NER), and Emotion Prediction. Implemented user authentication system with registration, login, form validation, duplicate detection, and JSON-based persistent data storage using class-based design (NLPApp & Database classes). Designed modular, scalable code structure with clean separation of UI logic and database operations for future NLP feature integration.
Financial Credit Risk Analytics Dashboard
December 1, 2025 – Present
Automated ETL pipeline using Python and Google Drive API to ingest, merge, and clean 36K+ rows from 25 financial CSVs including error handling for inconsistent formats and missing values. Built and maintained Power BI dashboards tracking income, credit scores, and loan targets, ensuring data accuracy across updates. Simulated workflow savings equivalent to $12K/month by reducing manual processing through automation.
Foundation in Data Science
Infosys Springboard
June 1, 2026 – Present
Crash Course on Python
Google (via Coursera)
June 1, 2026 – Present
SQL (Advanced Certificate)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from LLM chatbots to NLP tools and financial analytics dashboards, indicates a broad interest in applying technical skills to various domains. The focus on personal projects and self-learning (certifications) suggests a proactive and self-driven individual. However, the lack of professional team-based experience beyond an internship means the extent of collaboration and adaptability in a corporate setting is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work, particularly in integrating complex APIs and automating data pipelines. The ability to manage monorepos and implement structured development practices (Pydantic, logging) suggests an organized and detail-oriented approach. The undergraduate research intern experience indicates an analytical mindset and ability to conduct comparative analysis.