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Machine Learning Engineer with less than a year in Generative AI and Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Machine Learning Engineer Intern with 0.5 years of experience in developing and deploying AI solutions. Proven ability to integrate LLMs with internal systems, optimize workflows, and enhance data-driven decision-making. Skilled in Python, Generative AI, RAG, and various ML frameworks, consistently driving operational efficiency and improving key business metrics through innovative projects and collaborative efforts with senior leadership.
Vellore Institute of Technology
Bachelors of Technology (B. Tech) · Electrical & Electronics Engineering
September 1, 2022 – July 1, 2026
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AegisTriage: Secure Enterprise RAG Agent
May 1, 2026 – May 1, 2026
Developed an enterprise RAG application using Python, FAISS, OpenAI Embeddings, and Cohere Rerank across 790+ enterprise manuals and 5,900+ semantic chunks. Established LLM evaluation, PII redaction, and prompt injection detection pipelines, achieving 92%+ response accuracy and improving ticket resolution by 85%.
GenAI Financial Analyst
July 1, 2025 – July 1, 2025
Architected a GenAI financial intelligence system using Python, Retrieval Augmented Generation (RAG), and Llama 3 to analyze 600+ page IPO prospectuses, enabling automated financial question answering across complex documents. Implemented prompt engineering, document chunking, and semantic retrieval workflows to extract risk factors, business insights, and fund utilization strategies with 95%+ factual accuracy.
Cultural Fit Analysis
The candidate's diverse project portfolio, including enterprise RAG agents and financial intelligence systems, indicates adaptability and a broad interest in applying ML across different domains. Their involvement in leadership positions and organizing large-scale events suggests a proactive and collaborative mindset, contributing positively to cultural fit. The target role aligns well with their demonstrated skills and interests.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight strong problem-solving skills, an ability to work with complex data, and a results-oriented approach. Their experience in leadership roles (Finance Head, Executive Organiser) suggests good organizational and team collaboration skills, which are beneficial for operational fit in a senior role.