Shrestha Behera
Software Developer at Cognizant | Ex-Software Developer at JPMC | Ex-Project Researcher & Executor – Live Fire Drills (AK-203) at DRDO | B.Tech in Computer Science – LPU
- Role
- Software Engineer at Cognizant
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Shrestha Behera
Hi! I’m SHRESTHA BEHERA, a passionate and results-driven Software Engineer with hands-on experience building secure, intelligent, and scalable systems.Currently, I have joined Cognizant as a Software Engineer, working in the GRC domain, where I contribute to SaaS-based, cloud-native enterprise solutions focused on governance, risk, and compliance, secure software development, and scalable system architectures.Previously, at J.P. Morgan, I developed enterprise-level full-stack solutions using the MERN stack, applied advanced DSA and system design principles, and contributed to internal security initiatives aimed at protecting client data and ensuring secure software delivery.Earlier, I served as a Cyber Security Intern at DRDO, Ministry of Defence, contributing to classified national defence projects such as AGNI-5 and DHARASHAKTI. My work included developing a Space Scientific Calculator and a Multimedia Translator, both of which were patented and deployed in real-time strategic operations. I also led efforts in VAPT, threat modeling, and secure architecture design for mission-critical defence systems.I bring a multidisciplinary skill set that includes:• Cybersecurity: VAPT, Burp Suite, GRC, Cybersecurity++, Security+, Threat Modeling, Ethical Hacking• Software Engineering: MERN Stack, Full-Stack Development, Secure Coding, REST APIs, SaaS Applications• DSA & System Design: Scalable architectures, low-latency systems, LLD & HLD• 🤖 AI/ML & GenAI: OpenAI API, LangChain, TensorFlow, Scikit-learn, NLP, ML Pipelines, Data Science, Machine Learning Algorithms included: • Linear Regression • Polynomial Regression • Ridge Regression • Lasso Regression • Elastic Net • Support Vector Regression (SVR) • Decision Tree Regression • Random Forest Regression • Gradient Boosting Regression • Logistic Regression • K-Nearest Neighbors (KNN) • Support Vector Machine (SVM) • Decision Tree • Random Forest • Naive Bayes • Gradient Boosting • AdaBoost • XGBoost • LightGBM • CatBoost I hold a Bachelor of Technology in Computer Science and Engineering with a 9.52 GPA from Lovely Professional University (Class of 2024), combining strong academic performance with impactful technical projects across the defence, finance, and enterprise SaaS domains.I’m driven by the mission to build resilient, intelligent, and secure systems that solve real-world problems across industries—from defence and finance to next-generation AI.
Experience
Software Engineer
Jan 2026 — Present · Gurugram, IN
Excited to begin a new chapter at Cognizant as a Software Engineer in the GRC domain. I look forward to contributing to SaaS-based solutions that enhance governance, risk, and compliance through secure, scalable, and cloud-native application development. I’m eager to work with APIs, microservices, databases, and CI/CD pipelines, JavaScript, React.Js, Node.Js, MongoDb and Express Framework while adhering to SDLC, security, and compliance best practices. This role marks an important step in my professional growth, and I’m motivated to learn, collaborate, and deliver high-quality enterprise SaaS solutions.
Education
Kendriya Vidyalaya
Middle School
Sri Prakash Synergy School - India
High School
Lovely Professional University
Bachelor of Technology - BTech, Computer Science
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