Headline

AI Engineer (Computer Vision) | Building toward Agentic AI & RAG Systems | Client-facing ML delivery @ AdvitiiX Technovate

About

I'm an AI Engineer working primarily in computer vision — fine-tuning and deploying models for enterprise clients (L&T Komatsu, Wipro, Schneider Electric) at AdvitiiX Technovate, where I take requirements from client conversations through to production dashboards. Alongside my day-to-day CV work, I actively build in the RAG and agentic AI space on my own projects — because that's the direction I want to grow in: — Built a multi-document RAG system (PDF/DOCX/Google Docs) with optimized chunking and FAISS indexing for faster, more accurate retrieval — Built a chapter-aware RAG pipeline achieving ~90% Recall@K across long, multi-paragraph documents — Researched zero-shot object detection (Grounding DINO) on COCO, working through real localization and small-object challenges What connects both sides of my work: taking a model from "it works in a notebook" to "it works reliably for a real user," and being comfortable in the conversations that require — client requirements, tradeoffs, deployment constraints. Stack: Python, PyTorch, LangChain, FAISS, Hugging Face, Docker, Streamlit, FastAPI Before AI engineering, I worked in tech recruiting — which is probably why I care so much about the client/stakeholder-facing side of building AI systems, not just the modeling side. Currently deepening my RAG/agentic AI skills and open to roles where that's the core focus — Applied AI Engineer, Agentic AI Engineer, Forward Deployed Engineer, or similar.

Location

Bengaluru

AI stack

anthropic apis

antigravity

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claude

codex

grok

Work experience

Artificial Intelligence Engineer at AdvitiiX Technovate, Aug 2026 - Present · 4 mos, As an AI Engineer, I develop production-ready Computer Vision applications that combine object detection, OCR, image processing, and deep learning to automate inspection and validation tasks. My work spans the complete AI lifecycle—from data collection and annotation to model training, optimization, deployment, and continuous performance improvement.

AI Engineer at AdvitiiX Technovate, Feb 2026 - Jul 2026 · 6 mos, Computer Vision Engineer specializing in building intelligent visual systems using deep learning and AI. I work on designing, training, and deploying computer vision models for real-world applications — from object detection and image segmentation to video analytics and model optimization. Experienced in working with frameworks like TensorFlow/PyTorch and deploying models into scalable production pipelines. Passionate about solving practical problems using AI and continuously improving model performance through experimentation and data-driven iteration. Always exploring advancements in computer vision, multimodal AI, and edge deployment.

Research Assistant at Indian Institute of Technology, Mandi, Jun 2025 - Sep 2025 · 4 mos, Mandi, Himachal Pradesh, India, Worked under Prof. Gajendra Singh on experimental fluid mechanics, applying Python-based image processing and statistical analysis to study fluid instability and support research on fluid-based technologies.

Talent at Recro, Sep 2021 - Aug 2022 · 1 yr, Bangalore Urban, Karnataka, India, Managed full-cycle recruitment processes, including sourcing, interviewing, and hiring candidates for various roles. Collaborated with teams to identify talent needs and ensure alignment with organizational goals.

Education

Data Science Placement Guarantee Course, Data Science, Internshala Trainings

Graduate, Political Science and Music, Delhi University

Public links

github: https://github.com/fractalpriyanka