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Software Development Engineer with 1+ years in AI, Python & Cloud Technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Development Engineer with a strong foundation in Python-based backend services, AI/ML workflows, and cloud-native application deployment. Proven ability to optimize REST APIs, automate operational tasks, and enhance CI/CD pipelines. Experienced in Retrieval-Augmented Generation (RAG), vector embeddings, and integrating LLM APIs for document intelligence and conversational AI. Proficient in a comprehensive tech stack including FastAPI, PostgreSQL, Docker, and GCP, with a focus on building scalable and reliable solutions.
Prestige Institute of Engineering Management & Research
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
American Chase
Software Development Engineer
June 26, 2026 – Present
Indore, Madhya Pradesh, India
GrowwStacks Automation
Software Engineer
May 31, 2025 – October 17, 2025
Indore, Madhya Pradesh, India
Finance AI RAG System (QuantCortex)
June 24, 2026 – Present
Built an end-to-end Retrieval-Augmented Generation (RAG) pipeline using FastAPI and ChromaDB for financial document intelligence. Implemented hybrid retrieval combining FinBERT embeddings, BM25, and Reciprocal Rank Fusion (RRF) to improve document retrieval accuracy. Integrated OpenAI, Claude, and Groq APIs with asynchronous streaming to deliver real-time AI-powered responses. Tech Stack: Python, FastAPI, ChromaDB, FinBERT, Docker
AI Agent Platform Voice & Chat Orchestration
June 24, 2026 – Present
Developed multi-modal AI workflows supporting voice and chat interactions using Python and FastAPI. Implemented vector search with pgvector and Retrieval-Augmented Generation for context-aware conversational AI. Designed scalable REST APIs and optimized backend services for low-latency AI responses. Tech Stack: Python, FastAPI, PostgreSQL, pgvector, Docker
Cultural Fit Analysis
The candidate's experience across two companies and multiple personal projects demonstrates adaptability and a broad interest in modern software development, particularly in the AI/ML domain. The diversity of projects, from financial intelligence to conversational AI, indicates a willingness to explore different problem spaces. The listed skills cover a wide range of technologies, suggesting a continuous learning mindset which aligns well with dynamic tech environments.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to problem-solving and process optimization, such as reducing manual effort and deployment time. The focus on building scalable and reliable backend services suggests an operational mindset. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.