Dec 2024 – Feb 2025 · 2 mos · Bengaluru, Karnataka, India · Hybrid

• Developed a dynamic event correlation framework using unsupervised learning techniques (Spectral Clustering, HDBSCAN, K-Means) for real-time anomaly detection in large-scale networked systems.
• Designed and implemented an adaptive split-merge clustering engine in Python, improving event grouping accuracy through iterative refinement and probabilistic decision-making.
• Simulated backend failure scenarios with synthetic datasets and visualized cluster evolution using Seaborn and Matplotlib to assess system responsiveness and cluster stability.
• Achieved consistent improvements in log-likelihood, reduced noise/outliers, and ensured robust adaptation to new failure patterns in streaming event data.

Jul 2024 – Dec 2024 · 5 mos · Bengaluru, Karnataka, India · Hybrid

• Machine Learning Course at PES University
• Collaborated with a team of twelve to develop a curated curriculum for pre-final year students, focusing on topics such as artificial
• neural networks, optimizers, and ensemble learning. Additionally, contributed by incorporating a lab component on Hidden
• Markov Models to enhance experiential learning and designed a college-wide hackathon on multimodal emotion and sentiment
• analysis using video, audio, and text data.

May 2024 – Sep 2024 · 4 mos · Bengaluru, Karnataka, India · Hybrid

• As a Research assistance , I mentored junior interns through problem-solving with heuristic approaches, assisted them in setting up ML models and architectures, and helped them write and refine research papers, all drawing from my extensive knowledge.

Jun 2024 – Nov 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

• Developing a machine learning model using AI technologies Mistral and LangChain to address challenges in healthcare data analysis
• and patient care optimization.
• Engineered and fine-tuned large language model (LLM) specifically for to handle various types of data and perform text extraction via
• mistral and validating AI responses with Non AI approaches.

Apr 2024 – May 2024 · 1 mo · Bengaluru, Karnataka, India · Hybrid

• Developed a video analytics system to enhance security through advanced video analytics via a custom Computer Vision framework
• which detects unique individuals via face detection algorithms like Multi-Task CNN and Region based CNNs.
• Built features like counting the number of people, tracking individuals across multiple cameras view via YOLOv8 and identify authorised
• and unauthorized entries and exits with an alert system using low, medium, and high-quality CCTV video footage.
• Added options for users to choose different neural network models, compare results, and store data using a PostgreSQL database;
• conducted extensive testing and documentation

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · Remote

• Actively participating in PwC's esteemed 4-month Launchpad program, focusing on Cloud & Digital innovations, acquired skills in IT
• fundamentals, RDBMS, Java, and Salesforce competencies in a real-world corporate setting.
• Gained competency in new tools and technology customized to the changing demands of the business environment, improving my
• capacity to adapt and innovate across industries.
• Undergoing coursework tailored by PwC to nurture young talent, allowing us to launch our career in technology with a solid foundation
• in cloud and digital transformation projects.

Dec 2023 – Nov 2024 · 11 mos · Bengaluru, Karnataka, India · Hybrid

• As a mentor at the IEEE Computer Society Bangalore Chapter, I am currently guiding three teams in a research-oriented project under the Open Source Project Initiative (OSPI) program. Our goal is to produce a research paper within a two-month period.

Jun 2023 – Aug 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

• Explored the intricacies of ORAN SC and R1 interface, critical components in 5G networks; comprehensive understanding gained
• through detailed investigation highlighted their significance in advancing communication technologies.
• Worked primarily on the Service Management and Exposure (SME) domain, which handles API protocols for providers, publishers, and
• invokers.
• Engaged in the development of CAPIF (Common API Framework), initiated by 3GPP to provide a unified Northbound API framework
• across 3GPP network functions.
• Conducted rigorous validation of all API callbacks using Postman to ensure the reliability of communication channels.
• All understandings were carefully documented, offering comprehensive examination of the ORAN SC R1 interface

Mar 2023 – Nov 2023 · 8 mos · Bengaluru, Karnataka, India · On-site

• As the offline marketing team lead, I strategically secured funds for our event while spearheading its promotion within the college community. Through targeted marketing efforts, we successfully garnered registrations from over 500 students, significantly enhancing the event's impact and ensuring its success. My dedication to fundraising and effective marketing played a crucial role in not only meeting our goals but also creating a memorable and engaging experience for all participants.

Jan 2023 – Feb 2023 · 1 mo · Bengaluru, Karnataka, India · Remote

• I had the incredible opportunity into marketing and cultivate valuable connections for the company within our campus community. Serving as the main point of contact for acmegrade, I played a pivotal role in bridging the gap between our college and the exciting internship opportunities offered by the company across various cutting-edge tech domain. Contributed to the growth of both my peers
• and the company while fostering a culture of innovation and collaboration on our campus.