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Software Engineer with less than a year in AI/ML systems & Full-stack Development
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Assessing your cultural and operational fit
Software Engineering Intern at STMicroelectronics and SIH 2024 National Winner with hands-on expertise in C++, Python, and AI/ML systems. Built production-grade tools delivering 2x faster package loading and 5x CPU reduction. Experienced in full-stack development, RAG pipelines, and scalable backend systems - seeking a software engineering role to build high-impact products.
Jaypee Institute of Information Technology, Noida
M.Tech · Computer Science & Engineering
N/A – June 30, 2026
Bal Bharati Public School, Brij Vihar
12th Grade · PCM + CS
N/A – May 31, 2021
STMICROELECTRONICS PRIVATE LIMITED
Software Engineering Intern
July 1, 2025 – Present
India
Vidhijna Live
May 1, 2025 – Present
Built a hierarchical multi-agent legal assistant using LangGraph with supervisor-coordinated specialized agents (research, chat, drafting), Pinecone retrieval, and persistent state management. Instrumented LangFuse observability pipeline tracking cost-per-request ($0.005), p95 latency per node, and context utilization identifying a 44s bottleneck and zero citation coverage. Deployed on GCP Cloud Run via GitHub Actions with FastAPI streaming APIs, optimized for <512MB memory using controlled concurrency pipelines.
View ProjectSMART SENDER
November 1, 2024 – Present
Built a full-stack bulk email platform using Next.js, Node.js, and Gmail OAuth2, processing 5,000+ contacts from CSV/Excel uploads with a queue-based architecture achieving 97% delivery rate. Engineered AI-powered personalization engine with 98% variable substitution accuracy, reducing email drafting time by 22x compared to manual methods. Deployed with Kubernetes horizontal autoscaling (triggers at CPU >70%), handling 287 req/sec under load with sub-150ms API response times.
View ProjectWinner, HackStreet 2.0: Optimized "Fine Air" ML models to increase prediction accuracy by 30%.
Unknown
June 19, 2026 – Present
1st Runner-up, NexTech IIITD: Enhanced "Fine Air" algorithms, reducing model error rates by 20%.
Unknown
June 19, 2026 – Present
1st Runner-up, FineTechStico NSUT : Developed an NLP-driven one-stop solution for spam protection.
Unknown
June 19, 2026 – Present
1st Runner-up, CodeJam: Engineered a retro-gaming hub with optimized emulation performance.
Unknown
June 19, 2026 – Present
Track Winner, TechHacks 3.0: Created an IoT system for real-time vehicular pollution tracking.
Unknown
June 19, 2026 – Present
Winner, SIH 2024: Built a browser-based encryption tool that boosted ML model integrity by 80%.
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI/ML, full-stack development, and IoT, along with leadership roles and numerous competition achievements, suggests a highly motivated and adaptable individual. This breadth of experience and continuous learning aligns well with a dynamic, innovation-driven culture. Their involvement in mentoring also indicates a collaborative spirit.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative, leadership (mentoring, coordinating projects), and a proactive approach to problem-solving, as evidenced by their project achievements and competition successes. Their ability to work on complex, multi-agent systems and optimize performance suggests good analytical and operational fit for demanding technical environments. The detailed descriptions of project outcomes, including metrics, indicate a results-oriented mindset.