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AI Engineer with less than a year in Generative AI, Machine Learning, and Python development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python developer building production-style Generative AI and ML applications — LLM-powered agents, FastAPI/Flask backends, and end-to-end pipelines from model to interface. Hands-on with OpenAI and Anthropic Claude APIs, RAG-based retrieval, and classical ML. Active open-source contributor and hackathon builder, currently shipping AI-driven projects for two live hackathons.
Madhav Institute of Technology and Science, Gwalior
B.Tech · Mathematics and Computing
August 1, 2024 – June 30, 2028
Conversational AI Sales Agent (Social-to-Lead)
June 1, 2026 – Present
Built stateful multi-turn sales agent (OpenAI + Claude APIs) — replaced rule-based intent matching, qualifying leads end-to-end with zero context loss. Designed provider-agnostic prompt architecture — swapped between OpenAI and Claude APIs with zero business-logic rewrites.
View ProjectBiotech AI Leads Dashboard
June 1, 2026 – Present
Replaced static rule-based scoring with LLM-evaluated lead ranking - served via FastAPI backend, surfaced through interactive Streamlit dashboard.
View ProjectFlipkart Customer Support Classifier
June 1, 2026 – Present
78% accuracy classifying support tickets into 4 categories — built via TF-IDF + logistic regression pipeline, validated on held-out test data.
View ProjectVMware Avi Test Automation Framework
June 1, 2026 – Present
8 test cases running with zero live infrastructure — built Flask mock-API server, 4-stage validation pipeline (Prefetch → Pre-Validation → Task → Post-Validation). Cut test execution time via Python threading — parallelized all 8 test cases across concurrent runs.
View ProjectAI in Action Virtual Experience
Forage × Vista Equity Partners
April 1, 2026 – Present
Technology Virtual Experience
Forage × Deloitte Australia
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest and initiative in AI/ML, particularly in Generative AI. The projects are diverse, ranging from conversational agents to lead scoring and classification, indicating a broad interest within the AI domain. The mention of 'active open-source contributor and hackathon builder' suggests a proactive and collaborative attitude, which generally aligns well with innovative tech cultures. However, the lack of professional experience means cultural fit is primarily inferred from project choices and self-description.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to tackle complex problems and implement practical solutions. The focus on 'production-style' applications and 'end-to-end pipelines' indicates an operational mindset. However, without direct work experience or behavioral assessment data, it's difficult to fully assess soft skills like teamwork, communication, or stress handling.