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Python Engineer with less than a year in Django & Python, specializing in AI/ML solutions.
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Assessing your cultural and operational fit
Highly motivated and results-oriented professional with 3 months of experience as a Backend Developer specializing in Django and Python, complemented by 5 months as a Data Science Intern. Proficient in machine learning, deep learning, LLM/RAG pipelines, and cloud platforms like AWS. Strong background in developing data pipelines, building AI-driven systems, and optimizing data processing workflows. Eager to contribute technical expertise to innovative software development and AI engineering challenges.
MIT Vishwaprayag University, Solapur
Master of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
Dayanand College of Arts, Science & Commerce, Solapur
Bachelor of Computer Applications · Computer Applications
N/A – June 30, 2024
Suryank Technologies
Backend Developer (Django)
March 1, 2026 – Present
India
AppRely Technologies
Data Science Intern
July 1, 2025 – November 1, 2025
Solapur, Maharashtra, India
LexiBot - AI-Driven Legal Response System
June 17, 2026 – Present
Designed and deployed a RAG-based system using Pinecone for semantic search over legal documents Integrated Claude 3.5 Sonnet via AWS Bedrock; built a 369-entry legal knowledge base (acts, sections, precedents) Developed a Streamlit interface for querying legal cases and retrieving relevant laws and penalties
AskMyDocs - Offline RAG Document Chatbot
June 17, 2026 – Present
Built an offline RAG chatbot using Mistral via Ollama with FAISS-based vector indexing and HuggingFace embeddings Implemented document ingestion with drag-and-drop uploads and session-based conversational memory Optimized inference using batch processing, reducing response time by 35% and supporting datasets up to 10,000 pages
IBM Data Science Professional Certificate
Coursera
June 1, 2026 – Present
Generative AI Engineering with LLMs
IBM / Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, especially in AI/ML and RAG systems, aligns well with an innovative and technically driven culture. Their certifications in Data Science and Generative AI Engineering show a commitment to continuous learning and staying current with industry trends. The target role of 'Python Engineer' is a good match for their demonstrated skills in Python, Django, and AI/ML application development. However, the candidate's experience level (0 years according to profile, but resume shows some experience) needs clarification for a senior role, which might impact cultural fit in terms of leadership and mentorship expectations.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, particularly in the rapidly evolving AI/ML space. Their project descriptions indicate an ability to work independently on complex technical challenges. The experience in data annotation and preprocessing suggests attention to detail and an understanding of data quality importance. However, with limited professional experience, their operational fit in a senior role requiring extensive collaboration, mentorship, and project leadership is yet to be fully proven.