Rahat: Mental Wellness Solution
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Summary
Developed an AI-driven platform for mental wellness, leveraging physiological data and machine learning to provide personalized interventions.
Highly analytical and results-driven Software Engineer with a strong background in developing high-performance, low-latency systems for high-frequency trading and robust backend solutions. Proven ability to optimize data pipelines, enhance system reliability, and streamline CI/CD processes, consistently delivering measurable improvements in efficiency and uptime. Eager to leverage expertise in distributed systems, cloud technologies, and full-stack development to tackle complex challenges in a dynamic technical environment.
Software Engineer
Jaipur, Rajasthan, India
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Summary
Currently developing high-performance trading analytics dashboards and resilient data pipelines for high-frequency market data, ensuring business continuity and enhancing platform usability.
Highlights
Built internal trading analytics dashboards for high-frequency market data, enabling traders to visualize and interpret live and historical trade patterns with millisecond-level latency, reducing analysis time by 40%.
Developed a real-time backup trading interface using Lightstreamer, Next.js, MobX, and Node.js, ensuring business continuity by allowing order monitoring and cancellations during platform outages by almost 85%.
Contributed to the architecture of a proprietary charting platform, leading TypeScript optimizations and participating in product-level decisions to enhance usability and performance with AmCharts.
Led GitOps implementation using ArgoCD and Rancher, introducing an App of Apps pattern to streamline CI/CD across environments and improve deployment reliability for all internal tools.
Engineered resilient data pipelines with Kafka and TimescaleDB to ingest, store, and query high-frequency trading data at scale, supporting multiple real-time use cases across internal platforms processing around 50k+ messages/sec TAS (time and sales) data.
Backend Engineer
Noida, Uttar Pradesh, India
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Summary
Developed and optimized robust REST APIs and data ingestion processes, significantly improving efficiency and success rates for backend operations.
Highlights
Built REST APIs for automated DB migrations, cutting manual effort by 90% and enhancing system scalability.
Optimized data scripts, reducing execution time from 12+ minutes to under 3.5 minutes, significantly boosting processing speed.
Structured large-scale JSON data for efficient ingestion with a 95%+ success rate, ensuring data integrity and reliability.
Software Engineering Intern
Gurugram, Haryana, India
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Summary
Optimized caching mechanisms and enhanced system reliability for the OneCoupons team, resulting in significant performance improvements and high availability.
Highlights
Optimized Redis-based caching for the OneCoupons team using AWS ElastiCache, cutting latency by 65%.
Boosted throughput by 60% through cache TTL tuning and key redesign, improving system responsiveness.
Improved reliability with persistence and multi-AZ replication, achieving 99.99% uptime for critical services.
Web Administrator
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Summary
Administered and maintained the official website for MNNIT's Student Activity Cell, ensuring smooth operation and accessibility for student initiatives.
Highlights
Managed the web infrastructure and digital presence for the Student Activity Cell, supporting various student programs and events.
Ensured high availability and performance of the website, facilitating effective communication and resource sharing among students.
Event Coordinator
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Summary
Coordinated logistical and operational aspects for TEDxMNNIT events, contributing to successful execution.
Highlights
Orchestrated key event logistics and managed operational workflows for TEDxMNNIT, ensuring seamless execution of the event.
Collaborated with diverse teams to manage resources and schedules, contributing to a high-quality attendee experience.
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Bachelor of Technology
Mechanical Engineering
Grade: CGPA: 7.6
Awarded By
Codeforces, Codechef, Hackerearth
Achieved Specialist rank on Codeforces (max: 1558), 5 star on Codechef (max: 2013), and Elite on Hackerearth (max: 1897), demonstrating advanced problem-solving skills.
Awarded By
Leetcode, Codeforces, Codechef, Hackerearth
Solved over 1000+ coding problems across various platforms (Leetcode, Codeforces, Codechef, Hackerearth), showcasing extensive algorithmic and data structure proficiency.
Awarded By
HackerRank
Certified in Problem Solving (Intermediate) and Software Engineer role assessments on Hackerrank, validating core engineering competencies.
Awarded By
Ranked #497 nationally in Google Hash Code 2022 and #1055 globally in Google Kickstart Round B 2022, highlighting strong competitive programming and optimization abilities.
Awarded By
MNNIT
Achieved a top 10 team position in Hack36 5.0 2022, an annual 36-hour hackathon event at MNNIT, demonstrating strong teamwork and rapid prototyping skills.
C/C++, Python, Java, TypeScript, SQL.
Next.js, React Native, React.js, Node.js, Django, Spring Boot, MobX, AmCharts.
Kubernetes, Docker, Git, Kafka, Websockets, ArgoCD, Rancher, Lightstreamer, TimescaleDB, AWS ElastiCache, Redis.
Data Structures & Algorithms, System Design, OOPS, DBMS.
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Summary
Developed an AI-driven platform for mental wellness, leveraging physiological data and machine learning to provide personalized interventions.