Dec 2024 – May 2025 · 5 mos · Kolkata, West Bengal, India · On-site

• As a Scientist ‘B’ at NIELIT Kolkata, under the Ministry of Electronics and Information Technology (MeitY), I contribute to India’s mission of fostering digital empowerment, secure systems, and capacity building in the electronics and IT sectors. My role involves driving innovation, research, and policy implementation at the intersection of technology and public service.
• 🔹 Involved in the development and execution of national-level e-Governance and cybersecurity initiatives
• 🔹 Supporting research, training, and consultancy in cutting-edge domains like AI, IoT, Blockchain, and Digital Forensics
• 🔹 Collaborating with academic institutions, industry leaders, and government departments for impactful digital solutions
• 🔹 Engaged in capacity-building programs and technical skill development for students and government officials
• 🔹 Promoting awareness on cybersecurity, digital literacy, and emerging technologies at the grassroots level
• I am passionate about using technology for social impact and enabling India’s digital transformation through innovation, inclusion, and integrity.

Jul 2022 – Dec 2024 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

• As a Software Engineer at Palo Alto Networks, I worked on building high-performance, scalable, and secure systems that protect enterprises, governments, and individuals around the world. I contributed to mission-critical cybersecurity platforms, collaborating with cross-functional teams to solve complex problems in cloud security, threat intelligence, and network defense.
• 🔹 Designed and developed robust backend services for enterprise-grade cybersecurity products
• 🔹 Worked with technologies like Python, FastAPI, Kubernetes, REST APIs, and distributed systems
• 🔹 Collaborated with global engineering and product teams to deliver scalable and resilient cloud-native solutions
• 🔹 Integrated advanced threat intelligence feeds and automated security analytics workflows
• 🔹 Focused on code quality, testability, and performance in large-scale microservices architecture
• 🔹 Contributed to the development lifecycle from design, development, testing to deployment in CI/CD pipelines
• At Palo Alto Networks, I embraced a culture of innovation, continuous learning, and impact-driven engineering in the ever-evolving cybersecurity landscape.

Aug 2021 – Jul 2022 · 11 mos · Bengaluru, Karnataka, India · Remote

• As a Software Engineer at Cisco, I contributed to the development of next-generation networking and enterprise solutions that power global connectivity. I worked on scalable, secure, and intelligent platforms that form the backbone of cloud infrastructure, collaboration tools, and network automation.
• 🔹 Developed high-performance software for networking, SDN (Software-Defined Networking), and cloud-native platforms
• 🔹 Worked across the full software development lifecycle — from design and implementation to testing and deployment
• 🔹 Used technologies like Python, Java, Golang, Docker, Kubernetes, and microservices architecture
• 🔹 Collaborated with global teams to build APIs and backend systems for enterprise-grade networking solutions
• 🔹 Ensured security, performance, and reliability in large-scale distributed systems
• 🔹 Contributed to automation and DevOps workflows using CI/CD pipelines and infrastructure as code
• At Cisco, I experienced a culture of innovation, engineering excellence, and impact — solving real-world problems to enable secure and seamless digital experiences for customers worldwide.

Aug 2020 – Aug 2020 · 0 mo · Bengaluru, Karnataka, India · Remote

• Selected as a participant for the prestigious AI Summer School organized by Google Research India, focused on strengthening foundational knowledge in Artificial Intelligence, Deep Learning, and Machine Learning. The program brought together top AI researchers and selected students from across the country for intensive learning and mentorship.
• 🔹 Attended advanced lectures by leading scientists and engineers from Google Research and academia
• 🔹 Gained deep insights into topics like Transformers, Computer Vision, NLP, Generative Models, and Responsible AI
• 🔹 Participated in hands-on coding sessions, problem-solving workshops, and research discussions
• 🔹 Collaborated with peers on AI problem statements and research-oriented assignments
• 🔹 Engaged with the research mindset — bridging theory with real-world AI applications
• This experience sharpened my research thinking, deepened my technical understanding, and inspired me to pursue impactful work in AI for social good.

May 2020 – Jun 2020 · 1 mo · Mumbai, Maharashtra, India · On-site

• As a Software Engineer at Cisco, I contributed to the development of next-generation networking and enterprise solutions that power global connectivity. I worked on scalable, secure, and intelligent platforms that form the backbone of cloud infrastructure, collaboration tools, and network automation.
• 🔹 Developed high-performance software for networking, SDN (Software-Defined Networking), and cloud-native platforms
• 🔹 Worked across the full software development lifecycle — from design and implementation to testing and deployment
• 🔹 Used technologies like Python, Java, Golang, Docker, Kubernetes, and microservices architecture
• 🔹 Collaborated with global teams to build APIs and backend systems for enterprise-grade networking solutions
• 🔹 Ensured security, performance, and reliability in large-scale distributed systems
• 🔹 Contributed to automation and DevOps workflows using CI/CD pipelines and infrastructure as code
• At Cisco, I experienced a culture of innovation, engineering excellence, and impact — solving real-world problems to enable secure and seamless digital experiences for customers worldwide.

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India · On-site

• As a Machine Learning Engineer Intern at IISc Bangalore, one of India’s premier research institutions, I worked on cutting-edge problems at the intersection of machine learning, data science, and applied research. The internship provided hands-on exposure to core ML algorithms, model optimization, and impactful real-world applications.
• 🔹 Collaborated with leading researchers and faculty in designing and training machine learning models
• 🔹 Worked on Computer Vision
• 🔹 Implemented and optimized models using Python, TensorFlow/PyTorch, Scikit-learn, and data pipelines
• 🔹 Performed data preprocessing, feature engineering, and hyperparameter tuning for model performance
• 🔹 Contributed to technical documentation, experiment tracking, and evaluation metrics
• 🔹 Engaged in weekly research discussions, paper readings, and lab meetings for continual learning
• This internship deepened my understanding of applied ML and reinforced my passion for research and innovation in intelligent systems.