Bengaluru, Karnataka, India
I am a Software Engineer (Associate) at Goldman Sachs - Data Engineering team. With over 5 years of experience in software development, I have cultivated a deep understanding of crafting innovative solutions that drive impactful results. Prior to my current experience, I worked as a Full Stack Developer at ATONARP Microsystems, where I delved into the intricacies of software development for molecular diagnostic products. As a Computer Science graduate from IIT Bhilai, I furthered my expertise through an R&D internship at Bosch, where I spearheaded Kernel Fuzzing initiatives, resulting in bug discoveries within the QNX kernel, subsequently acknowledged by Blackberry. My industrial research paper, "Triforce QNX Syscall Fuzzer," earned recognition at ISSRE 2019 and clinched the "Best Disruptive Paper Award" from IEEE. In addition to my industry experience, I have contributed as a Data Science Intern at Einsehen and as a Front-end Developer Intern for PostInc. I bagged 3rd rank at the Indeed Women Coders contest 2021. I also qualified for the Grand Finale of the Smart India Hackathon '19 with ISRO. Furthermore, being invited to Google Tech Intern Connect '19 was a notable highlight of my journey thus far. I am driven by a passion for continuous learning and innovation, and I am open to new opportunities to leverage my skills in Software Engineering and Machine Learning. I am excited about the prospect of collaborating with like-minded professionals and contributing to transformative projects that make a meaningful difference.
Full Stack Developer (Associate)
Full stack Developer - AOS
Worked on developing Machine Learning and Data Science articles.
- Research and Development on QNX kernel fuzzing. - Discovered bugs in QNX kernel, accepted by Blackberry. - 'Triforce QNX Syscall Fuzzer' - industrial paper got accepted for ISSRE 2019, published in IEEE, won Best Disruptive Paper Award
- R&D - Creating generic models and POCs for the data from BI tools. - Predictive Modelling