AI Engineer with less than a year in LLM-based systems & RAG pipelines
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AI/ML-focused Computer Science undergraduate with hands-on experience in building scalable LLM-based systems, RAG pipelines, and AI-driven applications. Proficient in Python, APIs, and system design with practical exposure to real-world deployments, prompt engineering, and high-performance AI workflows.
Technocrats Group of Institutions
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Tata Consultancy Services (TCS)
Bilingual AI Intern
January 1, 2026 – Present
Indore, Madhya Pradesh, India
Gemini RAG System
June 25, 2026 – Present
Developed a Retrieval-Augmented Generation system using Google Gemini and LangChain. Designed document ingestion, embedding, and semantic retrieval pipelines. Improved response accuracy and reduced hallucinations through optimized retrieval strategies.
View ProjectFacial Recognition Attendance System
June 25, 2026 – Present
Built a real-time facial recognition system using computer vision techniques. Designed end-to-end pipeline for data collection, training, and attendance logging. Developed interface for managing and querying attendance records.
Extractor_Pie
June 25, 2026 – Present
Built a document extraction pipeline using FastAPI (SSE streaming), Azure OpenAI GPT-40 Vision, and Tesseract OCR reducing scanned PDF latency by 43% (25s → 14.18s) and image-heavy file processing by 30% via concurrent ThreadPoolExecutor architecture. Developed a 5-layer AI evaluation suite using DeBERTa v3 NLI, GPT-40 Vision, and an LLM-as-a-Judge detector to validate OCR fidelity, table structure, semantic consistency, and hallucination across JSON and Markdown outputs. Engineered an end-to-end ecosystem with token-based secure redirection, a dual-server launcher, and a unified dashboard enabling a one-click extract-then-evaluate workflow without re-uploading documents.
Career Essentials in Generative AΙ
Unknown
June 1, 2026 – Present
ServiceNow Certified System Administrator
ServiceNow
June 1, 2026 – Present
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft
June 1, 2026 – Present
Google Data Analytics Specialization
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse projects (RAG systems, facial recognition, document extraction) and certifications demonstrate a broad interest in various AI domains and a proactive learning attitude. The experience with both personal projects and an industry internship suggests adaptability and a willingness to apply skills in different contexts, which aligns well with dynamic AI roles. The certifications in data analytics and generative AI further highlight a commitment to continuous learning and staying current with industry trends.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving skills and an ability to work on complex, multi-faceted AI challenges. The focus on performance optimization and robust evaluation suites suggests a detail-oriented and quality-conscious approach. The internship at TCS and presentation to AI leads in Japan indicate good communication and collaboration potential in a professional setting.