Career & Leadership
Work Experience
A track record of engineering scalable full-stack products, leading development teams, and pioneering autonomous LLM agents in research settings.
Leadership / Full StackCurrent Role
Software Development Lead
Sstudize Labs
Mar 2026 — Present
Remote
Promoted from Software Developer Intern. Leading software architecture and end-to-end technical execution for an AI-enabled EdTech platform serving 500+ students.
Key Technical Responsibilities & Impact
- Lead technical direction, feature roadmapping, engineering reviews, and production release cycles across frontend and backend services.
- Architected and shipped full-stack features using React, Next.js, Node.js, Express.js, PostgreSQL, and Supabase across core product surfaces.
- Re-engineered backend workflows and high-traffic APIs for scalability, driving down API response times by 35% on assessment and automated test-generation pipelines.
- Diagnosed and resolved critical production bottlenecks including connection pool exhaustion, request timeouts, and auth rate limits under 1000-VU stress testing.
35% lower API latency500+ active student users1000-VU load tested
Stack:Next.jsReactNode.jsExpress.jsPostgreSQLSupabaseREST APIsStress Testing
Research & Development / AI
R&D Intern (Autonomous Agents)
Samsung PRISM — Samsung R&D Institute India
May 2026 — Present
Remote
Engineering an autonomous interaction framework utilizing LLM-driven browser agents for complex, dynamic web interfaces and multi-step tasks.
Key Technical Responsibilities & Impact
- Developing modular agent orchestration and adaptive interaction pipelines designed to navigate dynamic DOM trees, modals, interstitials, and anti-bot obstacles.
- Integrating browser automation primitives, DOM structure analyzers, LLM multi-step reasoning, and vision-model heuristics to achieve high task success rates.
- Conducting comparative benchmarks between DOM-based and vision-based interaction strategies on shifting web layouts to boost generalizability.
Multi-step agent workflowsVision + DOM hybrid parsingDynamic anti-bot resilience
Stack:Autonomous AgentsLLMsBrowser AutomationDOM AnalysisVision ModelsPythonAgentic Orchestration
AI & Transaction Intelligence
AI Developer Intern
Metis Intellisystems Pvt. Ltd.
May 2026 — Jun 2026
Onsite
Engineered an AI-assisted financial transaction intelligence pipeline processing heterogenous banking records across UPI, IMPS, NEFT, and RTGS.
Key Technical Responsibilities & Impact
- Built a deterministic semantic classification engine categorizing transactions across 40+ financial sectors using rule-based signals combined with fine-tuned transformers.
- Boosted classification consistency by 30% through domain-specific feature engineering, lexical normalization, and hybrid classification heuristics.
- Engineered a resilient transaction ingest pipeline that cleans, normalizes, extracts features, and categorizes unstructured transaction narratives.
40+ transaction categories+30% classification consistencyHeterogeneous financial parsing
Stack:Transformer ModelsNLPPythonSemantic ClassificationData NormalizationFinancial Systems
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