Jatin Ray

AI Researcher

New Delhi, Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 95% accuracy in fraud detection systems.
Developed AI-powered contract automation tools.
Engineered advanced data privacy solutions.

Stackforce AI infers this person is a Data Scientist with expertise in AI, Machine Learning, and Data Privacy across various industries.

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Skills

Core Skills

Data PrivacyMlopsGenerative AiMachine LearningData ScienceTelecommunicationsInformation Security

Other Skills

.NET Framework5GAI AgentC (Programming Language)C#Computer VisionCryptographyDeep Reinforcement LearningDjangoEU AIGenerative AI for Learning and DevelopmentInterpersonal SkillsJavaLarge Language Model Operations (LLMOps)Large Language Models (LLM)

About

Hi! Myself Jatin Ray, a B.Tech graduate in Computer Science with a specialization in the Internet of Things and a CGPA of 8.67. I am passionate about Machine Learning and Deep Learning, which I have explored through internships at leading firms like Happiest Minds, Nokia, Innefu Labs, and Codec Networks. My journey began at Codec Networks as a Cybersecurity Intern, where I performed Vulnerability Assessment and Penetration Testing (VAPT). At Nokia, I worked as a Telecom Analyst on EMC/EMI concepts and IMS architecture in collaboration with Reliance Jio. At Happiest Minds, I contributed to a Medical Tumor Identification Model PoC as a Data Science Intern. At Innefu Labs, I built a Face Detection System using AI Agents for a public sector PoC.At HCL Tecnologies, architected AI-powered fraud detection (95% accuracy, 40% fewer false positives) and healthcare virtual assistants (10K+ daily interactions), driving 60% faster reviews and 35% workflow gains—fully compliant and explainable Currently, I’m a Data Privacy and AI Ethics Intern at Randstad Digital, working with real-time data and ML pipelines. With a strong academic background and diverse project experience across Machine Learning and Generative AI, I aim to continue building intelligent solutions that create real-world impact. I excel in fast-paced settings and am always enthusiastic to learn and create.

Experience

Randstad digital

Data Privacy and AI Ethics

Sep 2025 – Present · 6 mos · Bengaluru South, Karnataka, India

Built advanced Excel-based automation systems to generate comprehensive privacy assessments (PSQ, SBD, AI Assessments, PBD, DSRs, RoPA, PIAs, DPIAs), reducing documentation time by 70% and significantly improving organizational accuracy and consistency.
Developed a high-performance document redaction tool, processing 500+ documents and reducing turnaround time by 60%, strengthening enterprise-wide privacy and compliance operations.
Engineered an RAG-based risk assessment platform capable of executing end-to-end controls testing, risk assessments, internal audits, and gap analyses across frameworks including GDPR, ISO 27001, ISO 42001, NIST, SOC 2, HIPAA, PCI DSS, and FedRAMP, increasing assessment speed by 3× while ensuring high levels of security, reliability, and safety.
Developed an agentic AI–powered contract lifecycle automation platform leveraging Legal AI, LLMs, Agentic AI, and RAG, integrating:
Autonomous workflows (negotiation, redlining, clause review)
Ask Lora chatbot for legal Q&A, summarization, and clause rewriting
Automated contract generation
Traffic-light clause risk analysis
One-click automated redrafting
AI-powered contract repository and search
Risk & anomaly detection
PII detection and redaction
M&A Due Diligence, E-Discovery, and Compliance Monitoring
Multilingual processing across 80+ languages
Delivering 4× faster contract review, 50%+ workload reduction, and scalable enterprise automation.
Led global privacy, security, vendor, and AI ethics assessments aligned with GDPR, CCPA, ROPA, PIA/DPIA, SBD/PBD, and the EU AI Act, ensuring complete, audit-ready compliance coverage.
Collaborated closely with privacy, legal, and IT teams to integrate responsible AI, ethical data governance, and security-by-design principles across business operations.

MLOpsData PrivacyProcess AutomationEU AIGenerative AI

Hcltech

Data Scientist

Apr 2025 – Jul 2025 · 3 mos · Bengaluru, Karnataka, India · Hybrid

Built a credit card fraud detection system using explainable AI, delivering 95%+ accuracy, reducing false positives by 40%, and cutting manual review time by 60%.
Ensured compliance with financial regulations through transparent AI insights, boosting trust with compliance and risk management teams.
Integrated AI-driven assistants into healthcare systems, securely managing 10K+ daily patient interactions and improving workflow efficiency by 35%.
Reduced healthcare documentation time by 50%, enabling 500+ medical professionals to make faster, data-informed decisions.

Machine LearningGenerative AIMLOpsDeep Reinforcement LearningData ScienceTableau

Innefu labs

Data Scientist

Feb 2025 – May 2025 · 3 mos · New Delhi, Delhi, India · Hybrid

Implemented data extraction pipelines that processed and cleaned thousands of records every day, increasing data accessibility and reducing manual collection efforts by 70%.
Built an end-to-end AI solution was developed that combined web scraping, sentiment analysis (85% accuracy), and an agentic criminal identification system to process textual and visual data from law enforcement databases. This resulted in a 92% suspect matching accuracy and a 60–70% reduction in analysis and investigation time.

Machine LearningLarge Language Models (LLM)AI AgentMLOpsDeep Reinforcement LearningData Science+3

Happiest minds technologies

Data Scientist

Jul 2024 – Aug 2024 · 1 mo · Bengaluru South, Karnataka, India · On-site

Engineered a tailored Stable Diffusion model on industrial datasets, improving model efficiency by 70%, optimizing resource utilization, and enhancing performance.
Designed and led a GMV forecasting model for a company. It improved prediction accuracy by about 15% which helped the organization to strategize regarding the growth of revenues.

Machine LearningMultilingual NLPLarge Language Model Operations (LLMOps)Python (Programming Language)Deep Reinforcement LearningData Science+2

Codec networks pvt ltd

Cyber Security Analyst

Aug 2023 – Oct 2023 · 2 mos · New Delhi, Delhi, India · On-site

Performed analysis of vulnerabilities and conducted penetration testing on networks, web applications, Android applications, and local systems.

Vulnerability Assessment and Penetration Testing (VAPT)Linux System AdministrationInformation SecurityNetwork SecurityCryptography

Nokia

Telecommunications Analyst

Jul 2023 – Nov 2023 · 4 mos · Mumbai Metropolitan Region · Remote

Worked in EMC/EMI basics and IMS concepts in collaboration with RJIO, adept at adhering to EMC standards.
Proficient in RF measurements, emphasizing their significance and utilizing CFX for DRA connectivity.
Skilled in SAPC, UE characteristics, and ISIM, with a proven ability to document technical details effectively.

Universal Mobile Telecommunications System (UMTS)Wireless Communications SystemsTelecommunications5G