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AI Engineer with less than a year in Generative AI & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI/ML Engineer with experience in designing and deploying RAG pipelines, real-time conversational AI systems, and LLM-orchestrated backend services. Proficient in building scalable, production-ready systems using Python, FastAPI, and LangChain/LangGraph, with hands-on expertise in vector databases, WebSocket-based real-time architectures, and containerized cloud deployments. Skilled in optimizing token efficiency and latency for voice-based AI agents, delivering production-grade solutions for enterprise conversational and document-retrieval systems.
Devi Ahilya Vishwavidyalaya, Indore
Master of Technology · Big Data Analytics
August 1, 2024 – June 30, 2026
Shri Shankaracharya Technical Campus
Bachelor of Technology · Computer Science Engineering (AIML)
August 1, 2020 – June 30, 2024
Recharge Trendd Setter
Software Developer AI/ML
February 1, 2026 – Present
Indore, Madhya Pradesh, India
JS Techalliance
AI/ML Engineer
November 1, 2024 – December 31, 2025
Indore, Madhya Pradesh, India
Thinkovate
Data Science Intern
May 1, 2024 – October 31, 2024
India
Software Engineer
Unknown
June 1, 2026 – Present
REST API
Unknown
June 1, 2026 – Present
Problem Solving
Unknown
June 1, 2026 – Present
SQL
Unknown
June 1, 2026 – Present
Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans real-time conversational AI, RAG pipelines, and data ingestion, demonstrating a breadth of skills relevant to an AI Engineer role. The projects involve integrating various advanced AI technologies and optimizing for performance, which aligns with a fast-paced, innovation-driven culture. The educational background in Computer Science Engineering (AIML) and Big Data Analytics further supports a strong foundational and evolving interest in the AI domain. The diversity of projects, from real-time voice agents to web crawling and document processing, indicates adaptability and a willingness to tackle different challenges within the AI/ML space.
Soft Skills & Operational Fit
The candidate's resume highlights a results-driven approach and experience in optimizing systems for efficiency and latency, suggesting a strong operational fit for roles requiring performance-critical AI solutions. The descriptions of architecting systems and implementing robust guardrails indicate a structured problem-solving approach. However, without direct assessment data, soft skills like teamwork, leadership, and adaptability cannot be fully evaluated.