Python Engineer with less than a year in Backend Development, AI/ML, and RAG systems.
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Assessing your cultural and operational fit
Python Developer and AI/ML Engineer with a B.Tech in CSE (AI & Data Science) and hands-on production experience building scalable backend systems and intelligent applications. Completing a Backend Developer Internship at Applied AI Consulting (AAIC), delivering LLM integrations, multi-agent AI pipelines (LangChain + LangGraph), RAG systems with pgvector, and REST APIs deployed on Netlify and Streamlit Cloud.
DKTE's Textile and Engineering Institute, Ichalkaranji
B.Tech · Computer Science & Engineering (AI & Data Science)
August 1, 2021 – June 30, 2025
Applied AI Consulting (AAIC)
Backend Developer Intern
December 1, 2025 – Present
Pune, Maharashtra, India
Stock Research Agent
June 24, 2026 – Present
Architected a 4-agent LangChain + LangGraph pipeline (News Fetcher → Sentiment Analyzer → Pattern Analyzer → Report Generator) delivering BUY/HOLD/SELL research reports from live web data via yfinance and DuckDuckGo in under 20 seconds. Built 5 interactive Plotly visualizations — candlestick charts with MA overlays, RSI indicator, and sentiment gauge — on a Streamlit dashboard supporting both NYSE and NSE Indian stock tickers.
View ProjectIndian Legal AI Assistant
June 24, 2026 – Present
Built a RAG-based legal assistant for Indian law using pgvector semantic search and keyword retrieval to generate structured citation-backed responses via OpenRouter LLM. Supported multilingual queries in regional Indian languages and built a searchable laws explorer on Streamlit for browsing and filtering the entire indexed legal database.
View ProjectData Analytics Certificate
Google Cloud
November 1, 2024 – Present
Introduction to Generative AI
Google Cloud
February 1, 2024 – Present
Introduction to Large Language Models
Google Cloud
January 1, 2024 – Present
Python 3.4.3
IIT Bombay
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including a stock research agent and a legal AI assistant, indicates a broad interest in applying AI to different domains. Their academic background in Computer Science & Engineering (AI & Data Science) and certifications in Generative AI and LLMs show a strong commitment to the AI/ML field. The internship at Applied AI Consulting further aligns with a culture focused on practical AI solutions. The candidate appears to be a self-starter and continuous learner, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their personal projects, which involve complex AI pipelines and interactive dashboards. Their internship experience suggests an ability to contribute to team projects and integrate into existing development workflows. The focus on AI/ML and backend development aligns well with roles requiring innovative technical solutions.