Satyaki Ghosh — Senior Software Engineer

I am a Senior Software Engineer with 3+ years of experience building scalable enterprise applications, optimizing system performance, and applying cutting-edge AI/ML solutions. Currently working at Oracle in the HCM Fusion Applications team, I specialize in full-stack development, microservices optimization, large-scale data processing, and AI-driven product enhancements. At Oracle, I’ve designed and delivered critical features impacting customers in 180+ countries. Key highlights include: • Reduced worker data API response times from 3s to 600ms by optimizing microservices and architecting Elasticsearch-powered REST APIs. • Spearheaded integration of the Business Rules Framework, enabling runtime customization adopted by multiple Fortune 500 clients. • Built reusable Oracle VBCS UI components standardized across 40+ consumers, streamlining development and consistency. • Enhanced reliability by improving test coverage to 90%+ with JUnit and developing JMeter load tests, reducing incidents by 60%. • Applied Generative AI techniques by fine-tuning LLMs (LoRA), building Retrieval-Augmented Generation (RAG) workflows, and creating in-house AI agents, cutting information retrieval time by 50%. My journey also includes impactful research as an IUSSTF-Viterbi Research Intern at USC, where I co-authored a study showing that adults over 60 experience ~10 years of premature brain aging after a single mild TBI (Springer Geroscience, 2022). I hold an M.Tech. in Signal Processing and Machine Learning from IIT Guwahati, where I worked on: • English-to-Bengali machine translation using LLMs, improving translation accuracy via LoRA-based fine-tuning. • Adversarial defenses for CNN classifiers, boosting robust accuracy against adversarial attacks from 43.8% to 58.1%. Technical Expertise: C++, Java, JavaScript, Python, Oracle VBCS, REST APIs, Elasticsearch, Docker, CI/CD, Oracle Cloud, Kafka, Redis, MongoDB, DynamoDB, PyTorch, TensorFlow, NLP, Generative AI. Recognized achievements include being selected as one of 15 Indian students for the IUSSTF-Viterbi Internship at USC, securing AIR 354 in GATE 2020 (99.62 percentile), and participating in the inaugural Amazon ML Summer School. I am passionate about building scalable systems, enterprise solutions, and AI-driven innovations, and I’m excited to take on new challenges in senior engineering or system design roles.

Stackforce AI infers this person is a SaaS and AI/ML specialist with a focus on scalable enterprise applications.

Location: Hyderabad, Telangana, India

Experience: 3 yrs 11 mos