Aspiring AI Engineer with ~3 years of software & consulting experience. Deeply interested in intelligent systems, combining a product mindset with hands-on expertise in Machine Learning, Deep Learning, Python, and SQL. Built an MVP cancer-screening tool at IIT Madras, achieving a 400% efficiency gain. Currently building AI agents and RAG applications.
B.E
Biomedical Engineer
3+ Years
Professional Experience
IBM PM
Certified Professional
AI & Healthcare
Machine Learning, RAG, NLP
I am an ambitious software professional and aspiring AI Engineer who bridges the gap between complex analytical problems and production-ready technological solutions. With around 3 years of experience in software consulting and data-driven systems, I spend my energy building and optimizing intelligent workflows.
My foundation in Biomedical Engineering underpins my problem-solving strategy: dissecting highly complex, life-or-death systems down to their fundamental algorithms and key parameters. I bring this precise, product-oriented analytical framework into developing scalable software architectures, machine learning models, and enterprise applications.
Whether developing custom Python pipelines for clinical diagnostic modules or exploring the latest in RAG applications and AI agents, my aim is to design intuitive, high-impact ecosystems. I seek to build robust technological solutions with grit, structure, and a relentless focus on efficiency.
"Any product that needs a manual to work is broken"
- Elon Musk
Demonstrated capability in developing software solutions, machine learning integrations, and analytical applications.
A Unified Digital Health Passbook for rural PHCs, clinics, and government hospitals.
# Jan Arogya Pusthak (JAP) - ABDM Micro-Portal
📌 Problem Space: Fragile paper logs are easily damaged or misplaced by rural patients. Existing portal solutions (like native ABHA applications) demand consistent high-bandwidth 4G networks and expensive smartphone terminals, entirely locking out over 60% of rural clinical demographics.
🚀 The Architecture Solution: JAP introduces an ultra-lightweight browser registry engineered to request patient clinical health records directly via secure Ayushman Bharat Digital Mission (ABDM) Gateway configurations.
🛠️ Stack: Tailwind CSS, HTML5 Canvas integration, ES6 Modules, Cryptographic OTP Consent API protocols.
An integrated navigational confidence indicator tailored to bypass high-congestion municipal bottlenecks.
# Local Routes Confidence Layer (LRCL) - Routing Engine
📌 Problem Space: Standard routing platforms (Google Maps APIs) optimize exclusively for shortest geographical paths or broad vehicular traffic averages. In densely populated, developing cities, this sends standard cars down extremely narrow pathways (width < 3m) or bustling local bazaars, causing catastrophic bottlenecks and vehicle damage.
🚀 The Algorithmic Solution: A layered middleware protocol that injects a mathematical "Confidence Coefficient" (C) directly onto active routing vectors. If a narrow municipal road drops below safety thresholds, standard GPS directions immediately route larger vehicles away.
C = Width_Coeff * 10 - Ped_Density_Factor - Vendor_Risk_Weight
🛠️ Stack: Google Maps JS API framework overrides, Python optimization scripts, GIS routing databases, municipal data hooks.
Loading Document PDF Preview...
If your browser restricts embedding, click "View External" to access the file directly.
Zifo Technologies Pvt Ltd
Healthcare Technology Innovation Centre (HTIC) - IIT Madras
The Policy, Politics and Governance Foundation (PPGF)
Using empirical metrics and competence to make real-world impact.
Synthesized 5 rapid quantitative & clinical user feedback iterations at IITM into single-pane MVP screening tool.
Drafted localized constituency briefs and complex digital passbook specifications (JAP) mapped to user targets.
Headed ticket prioritize, sprint boards, and compliance loops with global partners under rigid SLAs at Zifo.
Built predictive MVP applications and data pipelines. Experienced in Data Preparation, Machine Learning, and Deep Learning.
Proficient in SQL, C#, Git, and Docker. Handled advanced SQL queries, REST APIs, and enterprise clinical applications.
Developing AI agents and RAG applications utilizing LangChain, CrewAI, Hugging Face, and advanced Prompt Engineering.
Analyzed fertilizer consumption metrics and evaluated municipal implementation patterns of Street Hawker Acts.
Interfaced directly with government agencies, public representatives, and global pharma structures on SLA targets.
Drafted 15+ Parliamentary legislative inquiries linking key localized regional parameters to federal strategy loops.
Sri Ramakrishna Engineering College, Coimbatore
July 2019 - May 2023 | Accredited to Anna University, Chennai
Click "See Certificate" to view the verified credential register.
IBM via Coursera | Cred ID: QPUCE9JDMQLE
Issued Jun 2026IBM via Coursera | Cred ID: 5MC77EC2EZD5
Issued Jan 2026Marginal Revolution University (MRU), Virginia
Issued Aug 2025Feel free to connect or copy details for professional alignments and product strategy opportunities.
Also reach out via LinkedIn for professional networking!