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Machine Learning Engineer | Joint CEO & CTO CaseIndex
I am an AI/ML Engineer specialising in Large Language Models, Vector Search, RAG systems, Computer Vision, and Cloud-scale Deployment. I design high-performance, GPU-accelerated pipelines that combine deep learning, retrieval systems, backend engineering, and scalable cloud infrastructure. Currently at Aasvaa Universal, I lead engineering for JustifyAI, an advanced Indian legal research and automation platform, and the Moments with CM large-scale face recognition system. I work end-to-end across data pipelines, model training, backend architectures, and deployment on distributed GPU clusters. What I Bring • Strong LLM/RAG Expertise: Building multi-step RAG systems using OSS-120B, LLaMA-3, Gemma embeddings, ChromaDB, hybrid retrieval, and OpenSearch. • Vector Search at Scale: Designed pipelines converting 1.4M+ legal documents into billions of vectors with sub-100ms retrieval latency. • Computer Vision & High-Throughput Processing: Face recognition pipelines (YOLO, MTCNN, FaceNet) optimised to process 90k+ images with 99.7% accuracy. • Full-Stack ML Engineering: FastAPI, Redis, MySQL (RDS), async workers, GPU batch schedulers, event-driven micro-services. • Cloud & DevOps: AWS EC2 GPU, S3, RDS, Docker, NGINX, CI/CD, distributed inference. Why Connect With Me • Problem Solver: Able to convert complex AI workflows into fast, reliable, production-grade systems. • End-to-End Builder: Comfortable with everything from document extraction to modelling to deployment. • Entrepreneurial Mindset: Strong product vision from building production AI platforms at scale. • Collaborative & Adaptive: Work well with cross-functional teams and high-performance engineering environments. Let’s Connect Portfolio: chiragchetnani.github.io/Personal-portfolio GitHub: github.com/chiragchetnani Email: chetnanichirag@gmail.com Open to exciting opportunitie
JECRC University
Bachelor's degree, C.S.E. Ai and ML
January 1, 2020 – January 1, 2024
Case Index
Founder & Joint C.E.O.
January 1, 2026 – Present
Delhi, India · Remote
Aasvaa Universal Private Limited
Machine Learning Engineer
October 1, 2024 – January 1, 2026
Jaipur, Rajasthan, India · Hybrid
EHR Logic
Machine Learning Engineer
January 1, 2024 – October 1, 2024
Jaipur, Rajasthan, India · On-site
E-Cell, IIT Bombay
Campus Ambassador
June 1, 2021 – July 1, 2022
Jaipur, Rajasthan, India
JECRC University
ideathon 2021 runner-up
February 1, 2021 – February 1, 2021
Jaipur, Rajasthan, India
Xebia Academic Alliance
Campus Ambassador
December 1, 2020 – December 1, 2021
Jaipur, Rajasthan, India
Healthtech
December 1, 2020 – Present
In the first functionality, we will ask patients for their symptoms and search in our DB(Data Base) for most appropriate diseases which they might have and we provide them some medicines which could be taken without the prescription of doctors. If a patient's symptoms don't match with symptoms of diseases in our DB then we will advise them to consult a doctor. For this part, we populated the data for diseases and their symptoms in our DB. In the second functionality, we made an architecture for information exchange between patients and doctors. The main attribute of this functionality would be maintaining chronological record of the patient's information. It will encompass data regarding various aspects of patients like general & demographic information, personal and family history, treatment and investigations prescribed, etc. All this information will be linked to patient's unique Aadhar id or mobile number. This will make all information and records very easily accessible to all healthcare workers for future use and reference. In this, the treating doctor can edit or can change the report according to him and patient will only be able to see what all tests have gone through. This feature could also be used to roll out the COVID-19 vaccine throughout India. This will make it easy to track down people for getting vaccinated.
Campus Ambassador- Silver
E-Cell, IIT Bombay
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans multiple domains (health tech, legal tech, event management, education) and includes roles from campus ambassador to founder, indicating a diverse background and adaptability. The involvement in 'E-Cell, IIT Bombay' and 'ideathon 2021 runner-up' suggests an entrepreneurial spirit and a proactive approach to innovation. The breadth of technical skills and project types indicates a willingness to learn and engage with different challenges, which generally contributes positively to cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate's experience as a 'Founder & Joint C.E.O.' and 'Lead Engineer' suggests strong leadership, problem-solving, and project management skills. The detailed project descriptions indicate a structured approach to problem-solving and an ability to articulate complex technical solutions. The diverse project portfolio (legal tech, event recognition, health tech, edtech) demonstrates adaptability and a broad interest in applying ML to various domains.